mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-05-10 09:12:31 +08:00
Refine blueprint descriptions with researched model specs from docs
Updates subgraph descriptions across all 51 blueprints with accurate model details drawn from ComfyUI docs, including: - Flux.1 Dev: 12B open-weights, Pro-level quality - Flux.2 Klein 4B: fastest Flux, distilled architecture - Qwen-Image: 20B MMDiT, multilingual text rendering - Z-Image-Turbo: distilled 6B DiT, sub-second inference - LTX-2/2.3: 19B DiT audio-video foundation model - Wan2.2: open-source, 14B/1.3B variants - ACE-Step 1.5: ~1s full-song generation - GPU shader nodes consistently labeled as fragment shaders
This commit is contained in:
linmoumou
parent
35fccccd08
commit
567104c042
@ -432,7 +432,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Image Tools/Color adjust",
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"description": "Adjusts image brightness and contrast using real-time GPU shader processing."
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"description": "Adjusts image brightness and contrast using a real-time GPU fragment shader."
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}
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]
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},
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@ -1554,7 +1554,7 @@
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"VHS_KeepIntermediate": true
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},
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"category": "Image generation and editing/Canny to image",
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"description": "Generates an image from a Canny edge map using Z-Image-Turbo, optimized for fast text-conditioned edge-to-image generation."
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"description": "Generates an image from a Canny edge map using Z-Image-Turbo, with text conditioning and fast inference."
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}
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]
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},
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@ -3601,7 +3601,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Video generation and editing/Canny to video",
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"description": "Generates video frames from Canny edge maps using LTX 2.0 with text conditioning."
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"description": "Generates synchronised video+audio from Canny edge maps using LTX-2, Lightricks' 19B DiT audio-video foundation model."
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}
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]
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},
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@ -232,7 +232,7 @@
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"Node name for S&R": "GLSLShader"
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},
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"widgets_values": [
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"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform vec2 u_resolution;\nuniform int u_int0; // Mode\nuniform float u_float0; // Amount (0 to 100)\n\nin vec2 v_texCoord;\nout vec4 fragColor;\n\nconst int MODE_LINEAR = 0;\nconst int MODE_RADIAL = 1;\nconst int MODE_BARREL = 2;\nconst int MODE_SWIRL = 3;\nconst int MODE_DIAGONAL = 4;\n\nconst float AMOUNT_SCALE = 0.0005;\nconst float RADIAL_MULT = 4.0;\nconst float BARREL_MULT = 8.0;\nconst float INV_SQRT2 = 0.70710678118;\n\nvoid main() {\n vec2 uv = v_texCoord;\n vec4 original = texture(u_image0, uv);\n\n float amount = u_float0 * AMOUNT_SCALE;\n\n if (amount < 0.000001) {\n fragColor = original;\n return;\n }\n\n // Aspect-corrected coordinates for circular effects\n float aspect = u_resolution.x / u_resolution.y;\n vec2 centered = uv - 0.5;\n vec2 corrected = vec2(centered.x * aspect, centered.y);\n float r = length(corrected);\n vec2 dir = r > 0.0001 ? corrected / r : vec2(0.0);\n vec2 offset = vec2(0.0);\n\n if (u_int0 == MODE_LINEAR) {\n // Horizontal shift (no aspect correction needed)\n offset = vec2(amount, 0.0);\n }\n else if (u_int0 == MODE_RADIAL) {\n // Outward from center, stronger at edges\n offset = dir * r * amount * RADIAL_MULT;\n offset.x /= aspect; // Convert back to UV space\n }\n else if (u_int0 == MODE_BARREL) {\n // Lens distortion simulation (r² falloff)\n offset = dir * r * r * amount * BARREL_MULT;\n offset.x /= aspect; // Convert back to UV space\n }\n else if (u_int0 == MODE_SWIRL) {\n // Perpendicular to radial (rotational aberration)\n vec2 perp = vec2(-dir.y, dir.x);\n offset = perp * r * amount * RADIAL_MULT;\n offset.x /= aspect; // Convert back to UV space\n }\n else if (u_int0 == MODE_DIAGONAL) {\n // 45° offset (no aspect correction needed)\n offset = vec2(amount, amount) * INV_SQRT2;\n }\n \n float red = texture(u_image0, uv + offset).r;\n float green = original.g;\n float blue = texture(u_image0, uv - offset).b;\n \n fragColor = vec4(red, green, blue, original.a);\n}",
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"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform vec2 u_resolution;\nuniform int u_int0; // Mode\nuniform float u_float0; // Amount (0 to 100)\n\nin vec2 v_texCoord;\nout vec4 fragColor;\n\nconst int MODE_LINEAR = 0;\nconst int MODE_RADIAL = 1;\nconst int MODE_BARREL = 2;\nconst int MODE_SWIRL = 3;\nconst int MODE_DIAGONAL = 4;\n\nconst float AMOUNT_SCALE = 0.0005;\nconst float RADIAL_MULT = 4.0;\nconst float BARREL_MULT = 8.0;\nconst float INV_SQRT2 = 0.70710678118;\n\nvoid main() {\n vec2 uv = v_texCoord;\n vec4 original = texture(u_image0, uv);\n\n float amount = u_float0 * AMOUNT_SCALE;\n\n if (amount < 0.000001) {\n fragColor = original;\n return;\n }\n\n // Aspect-corrected coordinates for circular effects\n float aspect = u_resolution.x / u_resolution.y;\n vec2 centered = uv - 0.5;\n vec2 corrected = vec2(centered.x * aspect, centered.y);\n float r = length(corrected);\n vec2 dir = r > 0.0001 ? corrected / r : vec2(0.0);\n vec2 offset = vec2(0.0);\n\n if (u_int0 == MODE_LINEAR) {\n // Horizontal shift (no aspect correction needed)\n offset = vec2(amount, 0.0);\n }\n else if (u_int0 == MODE_RADIAL) {\n // Outward from center, stronger at edges\n offset = dir * r * amount * RADIAL_MULT;\n offset.x /= aspect; // Convert back to UV space\n }\n else if (u_int0 == MODE_BARREL) {\n // Lens distortion simulation (r\u00b2 falloff)\n offset = dir * r * r * amount * BARREL_MULT;\n offset.x /= aspect; // Convert back to UV space\n }\n else if (u_int0 == MODE_SWIRL) {\n // Perpendicular to radial (rotational aberration)\n vec2 perp = vec2(-dir.y, dir.x);\n offset = perp * r * amount * RADIAL_MULT;\n offset.x /= aspect; // Convert back to UV space\n }\n else if (u_int0 == MODE_DIAGONAL) {\n // 45\u00b0 offset (no aspect correction needed)\n offset = vec2(amount, amount) * INV_SQRT2;\n }\n \n float red = texture(u_image0, uv + offset).r;\n float green = original.g;\n float blue = texture(u_image0, uv - offset).b;\n \n fragColor = vec4(red, green, blue, original.a);\n}",
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"from_input"
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]
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},
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@ -378,7 +378,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Image Tools/Color adjust",
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"description": "Adds or corrects chromatic aberration (color fringing) for creative lens effect emulation."
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"description": "Adds lens-style chromatic aberration (color fringing) using a real-time GPU fragment shader."
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}
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]
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}
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@ -256,7 +256,7 @@
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"Node name for S&R": "GLSLShader"
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},
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"widgets_values": [
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"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0; // temperature (-100 to 100)\nuniform float u_float1; // tint (-100 to 100)\nuniform float u_float2; // vibrance (-100 to 100)\nuniform float u_float3; // saturation (-100 to 100)\n\nin vec2 v_texCoord;\nout vec4 fragColor;\n\nconst float INPUT_SCALE = 0.01;\nconst float TEMP_TINT_PRIMARY = 0.3;\nconst float TEMP_TINT_SECONDARY = 0.15;\nconst float VIBRANCE_BOOST = 2.0;\nconst float SATURATION_BOOST = 2.0;\nconst float SKIN_PROTECTION = 0.5;\nconst float EPSILON = 0.001;\nconst vec3 LUMA_WEIGHTS = vec3(0.299, 0.587, 0.114);\n\nvoid main() {\n vec4 tex = texture(u_image0, v_texCoord);\n vec3 color = tex.rgb;\n \n // Scale inputs: -100/100 → -1/1\n float temperature = u_float0 * INPUT_SCALE;\n float tint = u_float1 * INPUT_SCALE;\n float vibrance = u_float2 * INPUT_SCALE;\n float saturation = u_float3 * INPUT_SCALE;\n \n // Temperature (warm/cool): positive = warm, negative = cool\n color.r += temperature * TEMP_TINT_PRIMARY;\n color.b -= temperature * TEMP_TINT_PRIMARY;\n \n // Tint (green/magenta): positive = green, negative = magenta\n color.g += tint * TEMP_TINT_PRIMARY;\n color.r -= tint * TEMP_TINT_SECONDARY;\n color.b -= tint * TEMP_TINT_SECONDARY;\n \n // Single clamp after temperature/tint\n color = clamp(color, 0.0, 1.0);\n \n // Vibrance with skin protection\n if (vibrance != 0.0) {\n float maxC = max(color.r, max(color.g, color.b));\n float minC = min(color.r, min(color.g, color.b));\n float sat = maxC - minC;\n float gray = dot(color, LUMA_WEIGHTS);\n \n if (vibrance < 0.0) {\n // Desaturate: -100 → gray\n color = mix(vec3(gray), color, 1.0 + vibrance);\n } else {\n // Boost less saturated colors more\n float vibranceAmt = vibrance * (1.0 - sat);\n \n // Branchless skin tone protection\n float isWarmTone = step(color.b, color.g) * step(color.g, color.r);\n float warmth = (color.r - color.b) / max(maxC, EPSILON);\n float skinTone = isWarmTone * warmth * sat * (1.0 - sat);\n vibranceAmt *= (1.0 - skinTone * SKIN_PROTECTION);\n \n color = mix(vec3(gray), color, 1.0 + vibranceAmt * VIBRANCE_BOOST);\n }\n }\n \n // Saturation\n if (saturation != 0.0) {\n float gray = dot(color, LUMA_WEIGHTS);\n float satMix = saturation < 0.0\n ? 1.0 + saturation // -100 → gray\n : 1.0 + saturation * SATURATION_BOOST; // +100 → 3x boost\n color = mix(vec3(gray), color, satMix);\n }\n \n fragColor = vec4(clamp(color, 0.0, 1.0), tex.a);\n}",
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"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0; // temperature (-100 to 100)\nuniform float u_float1; // tint (-100 to 100)\nuniform float u_float2; // vibrance (-100 to 100)\nuniform float u_float3; // saturation (-100 to 100)\n\nin vec2 v_texCoord;\nout vec4 fragColor;\n\nconst float INPUT_SCALE = 0.01;\nconst float TEMP_TINT_PRIMARY = 0.3;\nconst float TEMP_TINT_SECONDARY = 0.15;\nconst float VIBRANCE_BOOST = 2.0;\nconst float SATURATION_BOOST = 2.0;\nconst float SKIN_PROTECTION = 0.5;\nconst float EPSILON = 0.001;\nconst vec3 LUMA_WEIGHTS = vec3(0.299, 0.587, 0.114);\n\nvoid main() {\n vec4 tex = texture(u_image0, v_texCoord);\n vec3 color = tex.rgb;\n \n // Scale inputs: -100/100 \u2192 -1/1\n float temperature = u_float0 * INPUT_SCALE;\n float tint = u_float1 * INPUT_SCALE;\n float vibrance = u_float2 * INPUT_SCALE;\n float saturation = u_float3 * INPUT_SCALE;\n \n // Temperature (warm/cool): positive = warm, negative = cool\n color.r += temperature * TEMP_TINT_PRIMARY;\n color.b -= temperature * TEMP_TINT_PRIMARY;\n \n // Tint (green/magenta): positive = green, negative = magenta\n color.g += tint * TEMP_TINT_PRIMARY;\n color.r -= tint * TEMP_TINT_SECONDARY;\n color.b -= tint * TEMP_TINT_SECONDARY;\n \n // Single clamp after temperature/tint\n color = clamp(color, 0.0, 1.0);\n \n // Vibrance with skin protection\n if (vibrance != 0.0) {\n float maxC = max(color.r, max(color.g, color.b));\n float minC = min(color.r, min(color.g, color.b));\n float sat = maxC - minC;\n float gray = dot(color, LUMA_WEIGHTS);\n \n if (vibrance < 0.0) {\n // Desaturate: -100 \u2192 gray\n color = mix(vec3(gray), color, 1.0 + vibrance);\n } else {\n // Boost less saturated colors more\n float vibranceAmt = vibrance * (1.0 - sat);\n \n // Branchless skin tone protection\n float isWarmTone = step(color.b, color.g) * step(color.g, color.r);\n float warmth = (color.r - color.b) / max(maxC, EPSILON);\n float skinTone = isWarmTone * warmth * sat * (1.0 - sat);\n vibranceAmt *= (1.0 - skinTone * SKIN_PROTECTION);\n \n color = mix(vec3(gray), color, 1.0 + vibranceAmt * VIBRANCE_BOOST);\n }\n }\n \n // Saturation\n if (saturation != 0.0) {\n float gray = dot(color, LUMA_WEIGHTS);\n float satMix = saturation < 0.0\n ? 1.0 + saturation // -100 \u2192 gray\n : 1.0 + saturation * SATURATION_BOOST; // +100 \u2192 3x boost\n color = mix(vec3(gray), color, satMix);\n }\n \n fragColor = vec4(clamp(color, 0.0, 1.0), tex.a);\n}",
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"from_input"
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]
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},
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@ -597,7 +597,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Image Tools/Color adjust",
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"description": "Adjusts image saturation, temperature, and tint using real-time GPU shader processing."
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"description": "Adjusts saturation, temperature, and tint using a real-time GPU fragment shader."
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}
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]
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}
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@ -1130,7 +1130,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Image Tools/Color adjust",
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"description": "Balances image colors across shadows, midtones, and highlights via real-time GPU shader."
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"description": "Balances colors across shadows, midtones, and highlights using a real-time GPU fragment shader."
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}
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]
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}
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@ -609,7 +609,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Image Tools/Color adjust",
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"description": "Fine-tunes image tone and color using per-channel curve adjustments via real-time GPU shader."
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"description": "Fine-tunes tone and color with per-channel curve adjustments using a real-time GPU fragment shader."
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}
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]
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}
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@ -1610,7 +1610,7 @@
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],
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"extra": {},
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"category": "Image Tools/Crop",
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"description": "Splits an image into a 2×2 grid of four equal tiles for batch processing or composition."
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"description": "Splits an image into a 2\u00d72 grid of four equal tiles."
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}
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]
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},
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@ -368,7 +368,7 @@
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]
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}
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],
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"title": "Math Expression （Width）",
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"title": "Math Expression \uff08Width\uff09",
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"properties": {
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"ue_properties": {
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"widget_ue_connectable": {},
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@ -2947,7 +2947,7 @@
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],
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"extra": {},
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"category": "Image Tools/Crop",
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"description": "Splits an image into a 3×3 grid of nine equal tiles for batch processing or composition."
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"description": "Splits an image into a 3\u00d73 grid of nine equal tiles."
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}
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]
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},
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@ -4234,7 +4234,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Video generation and editing/Depth to video",
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"description": "Generates video from a depth map sequence using LTX 2.0 with text conditioning."
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"description": "Generates synchronised video+audio from depth maps using LTX-2's DiT architecture."
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},
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{
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"id": "38b60539-50a7-42f9-a5fe-bdeca26272e2",
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@ -252,7 +252,7 @@
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"Node name for S&R": "GLSLShader"
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},
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"widgets_values": [
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"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0; // Blur radius (0–20, default ~5)\nuniform float u_float1; // Edge threshold (0–100, default ~30)\nuniform int u_int0; // Step size (0/1 = every pixel, 2+ = skip pixels)\n\nin vec2 v_texCoord;\nout vec4 fragColor;\n\nconst int MAX_RADIUS = 20;\nconst float EPSILON = 0.0001;\n\n// Perceptual luminance\nfloat getLuminance(vec3 rgb) {\n return dot(rgb, vec3(0.299, 0.587, 0.114));\n}\n\nvec4 bilateralFilter(vec2 uv, vec2 texelSize, int radius,\n float sigmaSpatial, float sigmaColor)\n{\n vec4 center = texture(u_image0, uv);\n vec3 centerRGB = center.rgb;\n\n float invSpatial2 = -0.5 / (sigmaSpatial * sigmaSpatial);\n float invColor2 = -0.5 / (sigmaColor * sigmaColor + EPSILON);\n\n vec3 sumRGB = vec3(0.0);\n float sumWeight = 0.0;\n\n int step = max(u_int0, 1);\n float radius2 = float(radius * radius);\n\n for (int dy = -MAX_RADIUS; dy <= MAX_RADIUS; dy++) {\n if (dy < -radius || dy > radius) continue;\n if (abs(dy) % step != 0) continue;\n\n for (int dx = -MAX_RADIUS; dx <= MAX_RADIUS; dx++) {\n if (dx < -radius || dx > radius) continue;\n if (abs(dx) % step != 0) continue;\n\n vec2 offset = vec2(float(dx), float(dy));\n float dist2 = dot(offset, offset);\n if (dist2 > radius2) continue;\n\n vec3 sampleRGB = texture(u_image0, uv + offset * texelSize).rgb;\n\n // Spatial Gaussian\n float spatialWeight = exp(dist2 * invSpatial2);\n\n // Perceptual color distance (weighted RGB)\n vec3 diff = sampleRGB - centerRGB;\n float colorDist = dot(diff * diff, vec3(0.299, 0.587, 0.114));\n float colorWeight = exp(colorDist * invColor2);\n\n float w = spatialWeight * colorWeight;\n sumRGB += sampleRGB * w;\n sumWeight += w;\n }\n }\n\n vec3 resultRGB = sumRGB / max(sumWeight, EPSILON);\n return vec4(resultRGB, center.a); // preserve center alpha\n}\n\nvoid main() {\n vec2 texelSize = 1.0 / vec2(textureSize(u_image0, 0));\n\n float radiusF = clamp(u_float0, 0.0, float(MAX_RADIUS));\n int radius = int(radiusF + 0.5);\n\n if (radius == 0) {\n fragColor = texture(u_image0, v_texCoord);\n return;\n }\n\n // Edge threshold → color sigma\n // Squared curve for better low-end control\n float t = clamp(u_float1, 0.0, 100.0) / 100.0;\n t *= t;\n float sigmaColor = mix(0.01, 0.5, t);\n\n // Spatial sigma tied to radius\n float sigmaSpatial = max(radiusF * 0.75, 0.5);\n\n fragColor = bilateralFilter(\n v_texCoord,\n texelSize,\n radius,\n sigmaSpatial,\n sigmaColor\n );\n}",
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"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0; // Blur radius (0\u201320, default ~5)\nuniform float u_float1; // Edge threshold (0\u2013100, default ~30)\nuniform int u_int0; // Step size (0/1 = every pixel, 2+ = skip pixels)\n\nin vec2 v_texCoord;\nout vec4 fragColor;\n\nconst int MAX_RADIUS = 20;\nconst float EPSILON = 0.0001;\n\n// Perceptual luminance\nfloat getLuminance(vec3 rgb) {\n return dot(rgb, vec3(0.299, 0.587, 0.114));\n}\n\nvec4 bilateralFilter(vec2 uv, vec2 texelSize, int radius,\n float sigmaSpatial, float sigmaColor)\n{\n vec4 center = texture(u_image0, uv);\n vec3 centerRGB = center.rgb;\n\n float invSpatial2 = -0.5 / (sigmaSpatial * sigmaSpatial);\n float invColor2 = -0.5 / (sigmaColor * sigmaColor + EPSILON);\n\n vec3 sumRGB = vec3(0.0);\n float sumWeight = 0.0;\n\n int step = max(u_int0, 1);\n float radius2 = float(radius * radius);\n\n for (int dy = -MAX_RADIUS; dy <= MAX_RADIUS; dy++) {\n if (dy < -radius || dy > radius) continue;\n if (abs(dy) % step != 0) continue;\n\n for (int dx = -MAX_RADIUS; dx <= MAX_RADIUS; dx++) {\n if (dx < -radius || dx > radius) continue;\n if (abs(dx) % step != 0) continue;\n\n vec2 offset = vec2(float(dx), float(dy));\n float dist2 = dot(offset, offset);\n if (dist2 > radius2) continue;\n\n vec3 sampleRGB = texture(u_image0, uv + offset * texelSize).rgb;\n\n // Spatial Gaussian\n float spatialWeight = exp(dist2 * invSpatial2);\n\n // Perceptual color distance (weighted RGB)\n vec3 diff = sampleRGB - centerRGB;\n float colorDist = dot(diff * diff, vec3(0.299, 0.587, 0.114));\n float colorWeight = exp(colorDist * invColor2);\n\n float w = spatialWeight * colorWeight;\n sumRGB += sampleRGB * w;\n sumWeight += w;\n }\n }\n\n vec3 resultRGB = sumRGB / max(sumWeight, EPSILON);\n return vec4(resultRGB, center.a); // preserve center alpha\n}\n\nvoid main() {\n vec2 texelSize = 1.0 / vec2(textureSize(u_image0, 0));\n\n float radiusF = clamp(u_float0, 0.0, float(MAX_RADIUS));\n int radius = int(radiusF + 0.5);\n\n if (radius == 0) {\n fragColor = texture(u_image0, v_texCoord);\n return;\n }\n\n // Edge threshold \u2192 color sigma\n // Squared curve for better low-end control\n float t = clamp(u_float1, 0.0, 100.0) / 100.0;\n t *= t;\n float sigmaColor = mix(0.01, 0.5, t);\n\n // Spatial sigma tied to radius\n float sigmaSpatial = max(radiusF * 0.75, 0.5);\n\n fragColor = bilateralFilter(\n v_texCoord,\n texelSize,\n radius,\n sigmaSpatial,\n sigmaColor\n );\n}",
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"from_input"
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]
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},
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@ -451,7 +451,7 @@
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"workflowRendererVersion": "LG"
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},
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"category": "Image Tools/Blur",
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"description": "Applies edge-preserving (bilateral) blur to soften images while retaining detail."
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"description": "Applies bilateral (edge-preserving) blur to soften images while retaining detail."
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}
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]
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},
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"Node name for S&R": "GLSLShader"
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},
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"widgets_values": [
|
||||
"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform vec2 u_resolution;\nuniform float u_float0; // grain amount [0.0 – 1.0] typical: 0.2–0.8\nuniform float u_float1; // grain size [0.3 – 3.0] lower = finer grain\nuniform float u_float2; // color amount [0.0 – 1.0] 0 = monochrome, 1 = RGB grain\nuniform float u_float3; // luminance bias [0.0 – 1.0] 0 = uniform, 1 = shadows only\nuniform int u_int0; // noise mode [0 or 1] 0 = smooth, 1 = grainy\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\n// High-quality integer hash (pcg-like)\nuint pcg(uint v) {\n uint state = v * 747796405u + 2891336453u;\n uint word = ((state >> ((state >> 28u) + 4u)) ^ state) * 277803737u;\n return (word >> 22u) ^ word;\n}\n\n// 2D -> 1D hash input\nuint hash2d(uvec2 p) {\n return pcg(p.x + pcg(p.y));\n}\n\n// Hash to float [0, 1]\nfloat hashf(uvec2 p) {\n return float(hash2d(p)) / float(0xffffffffu);\n}\n\n// Hash to float with offset (for RGB channels)\nfloat hashf(uvec2 p, uint offset) {\n return float(pcg(hash2d(p) + offset)) / float(0xffffffffu);\n}\n\n// Convert uniform [0,1] to roughly Gaussian distribution\n// Using simple approximation: average of multiple samples\nfloat toGaussian(uvec2 p) {\n float sum = hashf(p, 0u) + hashf(p, 1u) + hashf(p, 2u) + hashf(p, 3u);\n return (sum - 2.0) * 0.7; // Centered, scaled\n}\n\nfloat toGaussian(uvec2 p, uint offset) {\n float sum = hashf(p, offset) + hashf(p, offset + 1u) \n + hashf(p, offset + 2u) + hashf(p, offset + 3u);\n return (sum - 2.0) * 0.7;\n}\n\n// Smooth noise with better interpolation\nfloat smoothNoise(vec2 p) {\n vec2 i = floor(p);\n vec2 f = fract(p);\n \n // Quintic interpolation (less banding than cubic)\n f = f * f * f * (f * (f * 6.0 - 15.0) + 10.0);\n \n uvec2 ui = uvec2(i);\n float a = toGaussian(ui);\n float b = toGaussian(ui + uvec2(1u, 0u));\n float c = toGaussian(ui + uvec2(0u, 1u));\n float d = toGaussian(ui + uvec2(1u, 1u));\n \n return mix(mix(a, b, f.x), mix(c, d, f.x), f.y);\n}\n\nfloat smoothNoise(vec2 p, uint offset) {\n vec2 i = floor(p);\n vec2 f = fract(p);\n \n f = f * f * f * (f * (f * 6.0 - 15.0) + 10.0);\n \n uvec2 ui = uvec2(i);\n float a = toGaussian(ui, offset);\n float b = toGaussian(ui + uvec2(1u, 0u), offset);\n float c = toGaussian(ui + uvec2(0u, 1u), offset);\n float d = toGaussian(ui + uvec2(1u, 1u), offset);\n \n return mix(mix(a, b, f.x), mix(c, d, f.x), f.y);\n}\n\nvoid main() {\n vec4 color = texture(u_image0, v_texCoord);\n \n // Luminance (Rec.709)\n float luma = dot(color.rgb, vec3(0.2126, 0.7152, 0.0722));\n \n // Grain UV (resolution-independent)\n vec2 grainUV = v_texCoord * u_resolution / max(u_float1, 0.01);\n uvec2 grainPixel = uvec2(grainUV);\n \n float g;\n vec3 grainRGB;\n \n if (u_int0 == 1) {\n // Grainy mode: pure hash noise (no interpolation = no banding)\n g = toGaussian(grainPixel);\n grainRGB = vec3(\n toGaussian(grainPixel, 100u),\n toGaussian(grainPixel, 200u),\n toGaussian(grainPixel, 300u)\n );\n } else {\n // Smooth mode: interpolated with quintic curve\n g = smoothNoise(grainUV);\n grainRGB = vec3(\n smoothNoise(grainUV, 100u),\n smoothNoise(grainUV, 200u),\n smoothNoise(grainUV, 300u)\n );\n }\n \n // Luminance weighting (less grain in highlights)\n float lumWeight = mix(1.0, 1.0 - luma, clamp(u_float3, 0.0, 1.0));\n \n // Strength\n float strength = u_float0 * 0.15;\n \n // Color vs monochrome grain\n vec3 grainColor = mix(vec3(g), grainRGB, clamp(u_float2, 0.0, 1.0));\n \n color.rgb += grainColor * strength * lumWeight;\n fragColor0 = vec4(clamp(color.rgb, 0.0, 1.0), color.a);\n}\n",
|
||||
"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform vec2 u_resolution;\nuniform float u_float0; // grain amount [0.0 \u2013 1.0] typical: 0.2\u20130.8\nuniform float u_float1; // grain size [0.3 \u2013 3.0] lower = finer grain\nuniform float u_float2; // color amount [0.0 \u2013 1.0] 0 = monochrome, 1 = RGB grain\nuniform float u_float3; // luminance bias [0.0 \u2013 1.0] 0 = uniform, 1 = shadows only\nuniform int u_int0; // noise mode [0 or 1] 0 = smooth, 1 = grainy\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\n// High-quality integer hash (pcg-like)\nuint pcg(uint v) {\n uint state = v * 747796405u + 2891336453u;\n uint word = ((state >> ((state >> 28u) + 4u)) ^ state) * 277803737u;\n return (word >> 22u) ^ word;\n}\n\n// 2D -> 1D hash input\nuint hash2d(uvec2 p) {\n return pcg(p.x + pcg(p.y));\n}\n\n// Hash to float [0, 1]\nfloat hashf(uvec2 p) {\n return float(hash2d(p)) / float(0xffffffffu);\n}\n\n// Hash to float with offset (for RGB channels)\nfloat hashf(uvec2 p, uint offset) {\n return float(pcg(hash2d(p) + offset)) / float(0xffffffffu);\n}\n\n// Convert uniform [0,1] to roughly Gaussian distribution\n// Using simple approximation: average of multiple samples\nfloat toGaussian(uvec2 p) {\n float sum = hashf(p, 0u) + hashf(p, 1u) + hashf(p, 2u) + hashf(p, 3u);\n return (sum - 2.0) * 0.7; // Centered, scaled\n}\n\nfloat toGaussian(uvec2 p, uint offset) {\n float sum = hashf(p, offset) + hashf(p, offset + 1u) \n + hashf(p, offset + 2u) + hashf(p, offset + 3u);\n return (sum - 2.0) * 0.7;\n}\n\n// Smooth noise with better interpolation\nfloat smoothNoise(vec2 p) {\n vec2 i = floor(p);\n vec2 f = fract(p);\n \n // Quintic interpolation (less banding than cubic)\n f = f * f * f * (f * (f * 6.0 - 15.0) + 10.0);\n \n uvec2 ui = uvec2(i);\n float a = toGaussian(ui);\n float b = toGaussian(ui + uvec2(1u, 0u));\n float c = toGaussian(ui + uvec2(0u, 1u));\n float d = toGaussian(ui + uvec2(1u, 1u));\n \n return mix(mix(a, b, f.x), mix(c, d, f.x), f.y);\n}\n\nfloat smoothNoise(vec2 p, uint offset) {\n vec2 i = floor(p);\n vec2 f = fract(p);\n \n f = f * f * f * (f * (f * 6.0 - 15.0) + 10.0);\n \n uvec2 ui = uvec2(i);\n float a = toGaussian(ui, offset);\n float b = toGaussian(ui + uvec2(1u, 0u), offset);\n float c = toGaussian(ui + uvec2(0u, 1u), offset);\n float d = toGaussian(ui + uvec2(1u, 1u), offset);\n \n return mix(mix(a, b, f.x), mix(c, d, f.x), f.y);\n}\n\nvoid main() {\n vec4 color = texture(u_image0, v_texCoord);\n \n // Luminance (Rec.709)\n float luma = dot(color.rgb, vec3(0.2126, 0.7152, 0.0722));\n \n // Grain UV (resolution-independent)\n vec2 grainUV = v_texCoord * u_resolution / max(u_float1, 0.01);\n uvec2 grainPixel = uvec2(grainUV);\n \n float g;\n vec3 grainRGB;\n \n if (u_int0 == 1) {\n // Grainy mode: pure hash noise (no interpolation = no banding)\n g = toGaussian(grainPixel);\n grainRGB = vec3(\n toGaussian(grainPixel, 100u),\n toGaussian(grainPixel, 200u),\n toGaussian(grainPixel, 300u)\n );\n } else {\n // Smooth mode: interpolated with quintic curve\n g = smoothNoise(grainUV);\n grainRGB = vec3(\n smoothNoise(grainUV, 100u),\n smoothNoise(grainUV, 200u),\n smoothNoise(grainUV, 300u)\n );\n }\n \n // Luminance weighting (less grain in highlights)\n float lumWeight = mix(1.0, 1.0 - luma, clamp(u_float3, 0.0, 1.0));\n \n // Strength\n float strength = u_float0 * 0.15;\n \n // Color vs monochrome grain\n vec3 grainColor = mix(vec3(g), grainRGB, clamp(u_float2, 0.0, 1.0));\n \n color.rgb += grainColor * strength * lumWeight;\n fragColor0 = vec4(clamp(color.rgb, 0.0, 1.0), color.a);\n}\n",
|
||||
"from_input"
|
||||
]
|
||||
},
|
||||
@ -581,7 +581,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adds procedural film grain texture for a cinematic look via real-time GPU shader."
|
||||
"description": "Adds procedural film grain texture for a cinematic look via GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -576,7 +576,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adds a glow or bloom effect around bright image areas via real-time GPU shader."
|
||||
"description": "Adds a glow/bloom effect around bright image areas via GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -753,7 +753,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adjusts hue, saturation, and lightness of an image via real-time GPU shader."
|
||||
"description": "Adjusts hue, saturation, and lightness of an image using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -311,7 +311,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Text generation/Image Captioning",
|
||||
"description": "Generates descriptive captions for input images using Google Gemini multimodal LLM."
|
||||
"description": "Generates descriptive captions for images using Google Gemini's multimodal LLM."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -316,7 +316,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Manipulates individual RGBA image channels for masking, compositing, and channel effects."
|
||||
"description": "Manipulates individual RGBA channels for masking, compositing, and channel effects."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -2139,7 +2139,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits images via text instructions using FireRed Image Edit 1.1 instruction-following model."
|
||||
"description": "Edits images via text instructions using FireRed Image Edit 1.1, a diffusion-based instruction-following editing model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1473,7 +1473,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits images via text instructions using Flux.2 Klein 4B, a distilled 4B parameter model with efficient prompting."
|
||||
"description": "Edits images via text instructions using FLUX.2 [klein] 4B, the fastest Flux model unifying T2I and editing in one compact distilled architecture."
|
||||
},
|
||||
{
|
||||
"id": "6007e698-2ebd-4917-84d8-299b35d7b7ab",
|
||||
@ -1823,7 +1823,7 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"description": "Applies reference image conditioning for style/identity transfer using Flux.2 Klein 4B."
|
||||
"description": "Applies reference image conditioning for style and identity transfer (Flux.2 Klein 4B)."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1418,7 +1418,7 @@
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits images via text instructions using LongCat Image Edit instruction-following diffusion model."
|
||||
"description": "Edits images via text instructions using LongCat Image Edit, an instruction-following image editing diffusion model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1469,7 +1469,7 @@
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits images via text instructions using Qwen-Image (11-2025 release), Alibaba's instruction-following model."
|
||||
"description": "Edits images via text instructions using Qwen-Image-Edit-2511 with improved character consistency and integrated LoRA."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1189,7 +1189,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Inpaint image",
|
||||
"description": "Inpaints masked image regions using Flux.1 Fill Dev, BFL's 12B inpainting-optimized model."
|
||||
"description": "Inpaints masked image regions using Flux.1 fill [dev], BFL's 12B inpainting/outpainting model with precise prompt following."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1549,7 +1549,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Inpaint image",
|
||||
"description": "Inpaints masked image regions using Qwen-Image, Alibaba's multimodal generation model."
|
||||
"description": "Inpaints masked regions using Qwen-Image, extending its multilingual text rendering to inpainting tasks."
|
||||
},
|
||||
{
|
||||
"id": "56a1f603-fbd2-40ed-94ef-c9ecbd96aca8",
|
||||
@ -1909,7 +1909,7 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"description": "Expands and softens mask edges to reduce visible seams after inpainting."
|
||||
"description": "Expands and softens mask edges to reduce visible seams after image processing."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -743,7 +743,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adjusts black point, white point, and gamma for precise tonal range control."
|
||||
"description": "Adjusts black point, white point, and gamma for tonal range control via GPU shader."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1920,7 +1920,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Outpaint image",
|
||||
"description": "Extends image content beyond original boundaries using Qwen-Image outpainting."
|
||||
"description": "Outpaints beyond image boundaries using Qwen-Image's outpainting capabilities."
|
||||
},
|
||||
{
|
||||
"id": "f93c215e-c393-460e-9534-ed2c3d8a652e",
|
||||
@ -2280,7 +2280,7 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"description": "Expands and softens mask edges to reduce visible seams after processing."
|
||||
"description": "Expands and softens mask edges to reduce visible seams after image processing."
|
||||
},
|
||||
{
|
||||
"id": "2a4b2cc0-db37-4302-a067-da392f38f06b",
|
||||
@ -2736,7 +2736,7 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"description": "Scales both image and mask together while preserving alignment for outpainting workflows."
|
||||
"description": "Scales both image and mask together while preserving alignment for editing workflows."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1303,7 +1303,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Enhance",
|
||||
"description": "Upscales images to higher resolution using Z-Image-Turbo for detail enhancement."
|
||||
"description": "Upscales images to higher resolution using Z-Image-Turbo's efficient architecture."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1587,7 +1587,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Image to layers",
|
||||
"description": "Decomposes an image into separate layers (foreground/background) using Qwen-Image-Layered."
|
||||
"description": "Decomposes an image into variable-resolution RGBA layers for independent editing using Qwen-Image-Layered."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -766,7 +766,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "3D/Image to 3D Model",
|
||||
"description": "Generates a 3D mesh model from a single input image using Hunyuan3D 2.1."
|
||||
"description": "Generates high-fidelity 3D meshes with textures from a single input image using Hunyuan3D 2.0/2.1."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -4224,7 +4224,7 @@
|
||||
"workflowRendererVersion": "Vue-corrected"
|
||||
},
|
||||
"category": "Video generation and editing/Image to video",
|
||||
"description": "Generates a short video from a single input image using LTX-2.3, optimized for fast latent video generation."
|
||||
"description": "Generates a video from a single input image using LTX-2.3, with enhanced fine details and prompt understanding."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -825,7 +825,7 @@
|
||||
}
|
||||
},
|
||||
"widgets_values": [
|
||||
"色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
|
||||
"\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70"
|
||||
],
|
||||
"color": "#322",
|
||||
"bgcolor": "#533"
|
||||
@ -1525,7 +1525,7 @@
|
||||
}
|
||||
},
|
||||
"widgets_values": [
|
||||
"## GPU:RTX4090D 24GB\n\n| Model | Size |VRAM Usage | 1st Generation | 2nd Generation |\n|---------------------|-------|-----------|---------------|-----------------|\n| fp8_scaled |640*640| 84% | ≈ 536s | ≈ 513s |\n| fp8_scaled + 4steps LoRA | 640*640 | 83% | ≈ 97s | ≈ 71s |"
|
||||
"## GPU:RTX4090D 24GB\n\n| Model | Size |VRAM Usage | 1st Generation | 2nd Generation |\n|---------------------|-------|-----------|---------------|-----------------|\n| fp8_scaled |640*640| 84% | \u2248 536s | \u2248 513s |\n| fp8_scaled + 4steps LoRA | 640*640 | 83% | \u2248 97s | \u2248 71s |"
|
||||
],
|
||||
"color": "#222",
|
||||
"bgcolor": "#000"
|
||||
@ -1555,7 +1555,7 @@
|
||||
}
|
||||
},
|
||||
"widgets_values": [
|
||||
"[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│ ├───📂 diffusion_models/\n│ │ ├─── wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\n│ ├───📂 loras/\n│ │ ├─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│ │ └─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│ ├───📂 text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│ └───📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n"
|
||||
"[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\n\u251c\u2500\u2500\u2500\ud83d\udcc2 models/\n\u2502 \u251c\u2500\u2500\u2500\ud83d\udcc2 diffusion_models/\n\u2502 \u2502 \u251c\u2500\u2500\u2500 wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\n\u2502 \u2502 \u2514\u2500\u2500\u2500 wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\n\u2502 \u251c\u2500\u2500\u2500\ud83d\udcc2 loras/\n\u2502 \u2502 \u251c\u2500\u2500\u2500 wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n\u2502 \u2502 \u2514\u2500\u2500\u2500 wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n\u2502 \u251c\u2500\u2500\u2500\ud83d\udcc2 text_encoders/\n\u2502 \u2502 \u2514\u2500\u2500\u2500 umt5_xxl_fp8_e4m3fn_scaled.safetensors \n\u2502 \u2514\u2500\u2500\u2500\ud83d\udcc2 vae/\n\u2502 \u2514\u2500\u2500 wan_2.1_vae.safetensors\n```\n"
|
||||
],
|
||||
"color": "#222",
|
||||
"bgcolor": "#000"
|
||||
@ -2028,7 +2028,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Image to video",
|
||||
"description": "Generates a video from a single input image using Wan 2.2, Alibaba's diffusion video model."
|
||||
"description": "Generates a video from a single image and text prompt using Wan2.2, with multi-task T2V and I2V support."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1299,7 +1299,7 @@
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Pose to image",
|
||||
"description": "Generates an image from pose keypoint reference using Z-Image-Turbo with text conditioning."
|
||||
"description": "Generates an image from pose keypoints using Z-Image-Turbo with text conditioning."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -3871,7 +3871,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Pose to video",
|
||||
"description": "Generates video from pose reference frames using LTX 2.0 with text conditioning."
|
||||
"description": "Generates synchronised video+audio from pose reference frames using LTX-2."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -271,7 +271,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Text generation/Prompt enhance",
|
||||
"description": "Enhances and expands short text prompts into detailed descriptions using a text generation model."
|
||||
"description": "Expands short text prompts into detailed descriptions using a text generation model for better generation quality."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -267,7 +267,7 @@
|
||||
"Node name for S&R": "GLSLShader"
|
||||
},
|
||||
"widgets_values": [
|
||||
"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0; // strength [0.0 – 2.0] typical: 0.3–1.0\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\nvoid main() {\n vec2 texel = 1.0 / vec2(textureSize(u_image0, 0));\n \n // Sample center and neighbors\n vec4 center = texture(u_image0, v_texCoord);\n vec4 top = texture(u_image0, v_texCoord + vec2( 0.0, -texel.y));\n vec4 bottom = texture(u_image0, v_texCoord + vec2( 0.0, texel.y));\n vec4 left = texture(u_image0, v_texCoord + vec2(-texel.x, 0.0));\n vec4 right = texture(u_image0, v_texCoord + vec2( texel.x, 0.0));\n \n // Edge enhancement (Laplacian)\n vec4 edges = center * 4.0 - top - bottom - left - right;\n \n // Add edges back scaled by strength\n vec4 sharpened = center + edges * u_float0;\n \n fragColor0 = vec4(clamp(sharpened.rgb, 0.0, 1.0), center.a);\n}",
|
||||
"#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0; // strength [0.0 \u2013 2.0] typical: 0.3\u20131.0\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\nvoid main() {\n vec2 texel = 1.0 / vec2(textureSize(u_image0, 0));\n \n // Sample center and neighbors\n vec4 center = texture(u_image0, v_texCoord);\n vec4 top = texture(u_image0, v_texCoord + vec2( 0.0, -texel.y));\n vec4 bottom = texture(u_image0, v_texCoord + vec2( 0.0, texel.y));\n vec4 left = texture(u_image0, v_texCoord + vec2(-texel.x, 0.0));\n vec4 right = texture(u_image0, v_texCoord + vec2( texel.x, 0.0));\n \n // Edge enhancement (Laplacian)\n vec4 edges = center * 4.0 - top - bottom - left - right;\n \n // Add edges back scaled by strength\n vec4 sharpened = center + edges * u_float0;\n \n fragColor0 = vec4(clamp(sharpened.rgb, 0.0, 1.0), center.a);\n}",
|
||||
"from_input"
|
||||
]
|
||||
}
|
||||
@ -303,7 +303,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Sharpen",
|
||||
"description": "Sharpens image details to enhance clarity and definition via GPU shader."
|
||||
"description": "Sharpens image details using a GPU fragment shader for enhanced clarity."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -1503,7 +1503,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Audio/Music generation",
|
||||
"description": "Generates audio from a text prompt using ACE-Step 1.5, a diffusion-based audio generation model."
|
||||
"description": "Generates commercial-quality music from text prompts using ACE-Step 1.5, with ~1s generation for a full song on RTX 5090."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1030,7 +1030,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Flux.1 Dev, BFL's 12B parameter open-weights diffusion model."
|
||||
"description": "Generates images from text prompts using Flux.1 [dev], BFL's 12B open-weights diffusion model with Pro-level quality."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1024,7 +1024,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Flux.1 Krea Dev, Krea's fine-tuned variant of Flux Dev."
|
||||
"description": "Generates images from text prompts using Flux.1 Krea Dev, a BFL \u00d7 Krea collaboration with unique aesthetic styling and natural detail."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1105,7 +1105,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates anime-style images from text prompts using NetaYume Lumina, an illustration-optimized model."
|
||||
"description": "Generates images from text prompts using NetaYume Lumina, a Lumina-Next variant fine-tuned for anime-style and illustration generation."
|
||||
},
|
||||
{
|
||||
"id": "a07fdf06-1bda-4dac-bdbd-63ee8ebca1c9",
|
||||
@ -1460,7 +1460,7 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"description": "Encodes a negative text prompt using CLIP for classifier-free guidance in anime-style generation."
|
||||
"description": "Encodes a negative text prompt via CLIP for classifier-free guidance in anime-style generation (NetaYume Lumina)."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -751,7 +751,7 @@
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": [
|
||||
"低分辨率，低画质，肢体畸形，手指畸形，画面过饱和，蜡像感，人脸无细节，过度光滑，画面具有AI感。构图混乱。文字模糊，扭曲"
|
||||
"\u4f4e\u5206\u8fa8\u7387\uff0c\u4f4e\u753b\u8d28\uff0c\u80a2\u4f53\u7578\u5f62\uff0c\u624b\u6307\u7578\u5f62\uff0c\u753b\u9762\u8fc7\u9971\u548c\uff0c\u8721\u50cf\u611f\uff0c\u4eba\u8138\u65e0\u7ec6\u8282\uff0c\u8fc7\u5ea6\u5149\u6ed1\uff0c\u753b\u9762\u5177\u6709AI\u611f\u3002\u6784\u56fe\u6df7\u4e71\u3002\u6587\u5b57\u6a21\u7cca\uff0c\u626d\u66f2"
|
||||
],
|
||||
"color": "#322",
|
||||
"bgcolor": "#533"
|
||||
@ -1942,7 +1942,7 @@
|
||||
"workflowRendererVersion": "Vue-corrected"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Qwen-Image (12-2025), Alibaba's latest image generation model."
|
||||
"description": "Generates images from text prompts using Qwen-Image-2512, with enhanced human realism and finer natural detail over the base version."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1874,7 +1874,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Qwen-Image, Alibaba's multimodal text-to-image model."
|
||||
"description": "Generates images from text prompts using Qwen-Image, Alibaba's 20B MMDiT model with excellent multilingual text rendering."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1055,7 +1055,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Z-Image-Turbo for fast text-to-image generation."
|
||||
"description": "Generates images from text prompts using Z-Image-Turbo, Alibaba's distilled 6B DiT with sub-second inference on consumer GPUs."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -4287,7 +4287,7 @@
|
||||
"workflowRendererVersion": "Vue-corrected"
|
||||
},
|
||||
"category": "Video generation and editing/Text to video",
|
||||
"description": "Generates video from text prompts using LTX-2.3, a lightweight transformer-based video diffusion model."
|
||||
"description": "Generates video from text prompts using LTX-2.3, Lightricks' open-source DiT with improved details, portrait support, and audio-video sync."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1160,7 +1160,7 @@
|
||||
"title": "Model Links",
|
||||
"properties": {},
|
||||
"widgets_values": [
|
||||
"[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n) | [教程](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model** \n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n\n- [wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors)\n- [wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│ ├───📂 diffusion_models/\n│ │ ├─── wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors\n│ ├───📂 loras/\n│ │ ├───wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│ │ └───wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│ ├───📂 text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│ └───📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n"
|
||||
"[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n) | [\u6559\u7a0b](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model** \n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n\n- [wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors)\n- [wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\n\u251c\u2500\u2500\u2500\ud83d\udcc2 models/\n\u2502 \u251c\u2500\u2500\u2500\ud83d\udcc2 diffusion_models/\n\u2502 \u2502 \u251c\u2500\u2500\u2500 wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors\n\u2502 \u2502 \u2514\u2500\u2500\u2500 wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors\n\u2502 \u251c\u2500\u2500\u2500\ud83d\udcc2 loras/\n\u2502 \u2502 \u251c\u2500\u2500\u2500wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n\u2502 \u2502 \u2514\u2500\u2500\u2500wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n\u2502 \u251c\u2500\u2500\u2500\ud83d\udcc2 text_encoders/\n\u2502 \u2502 \u2514\u2500\u2500\u2500 umt5_xxl_fp8_e4m3fn_scaled.safetensors \n\u2502 \u2514\u2500\u2500\u2500\ud83d\udcc2 vae/\n\u2502 \u2514\u2500\u2500 wan_2.1_vae.safetensors\n```\n"
|
||||
],
|
||||
"color": "#222",
|
||||
"bgcolor": "#000"
|
||||
@ -1263,7 +1263,7 @@
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": [
|
||||
"色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，裸露，NSFW"
|
||||
"\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70\uff0c\u88f8\u9732\uff0cNSFW"
|
||||
],
|
||||
"color": "#322",
|
||||
"bgcolor": "#533"
|
||||
@ -1573,7 +1573,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Text to video",
|
||||
"description": "Generates video from text prompts using Wan 2.2, Alibaba's open-source text-to-video diffusion model."
|
||||
"description": "Generates video from text prompts using Wan2.2, Alibaba's open-source diffusion video model with 14B/1.3B parameter variants."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -435,7 +435,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Sharpen",
|
||||
"description": "Enhances edge contrast using unsharp masking for a sharper image appearance."
|
||||
"description": "Enhances edge contrast via unsharp masking for a sharper image appearance."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -308,7 +308,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Text generation/Video Captioning",
|
||||
"description": "Generates descriptive captions for video input using Google Gemini multimodal LLM."
|
||||
"description": "Generates descriptive captions for video input using Google Gemini's multimodal LLM."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -1116,7 +1116,7 @@
|
||||
"title": "About Video Size",
|
||||
"properties": {},
|
||||
"widgets_values": [
|
||||
"| Model | 480P | 720P |\n| ------------------------------------------------------------ | ---- | ---- |\n| [VACE-1.3B](https://huggingface.co/Wan-AI/Wan2.1-VACE-1.3B) | ✅ | ❌ |\n| [VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) | ✅ | ✅ |"
|
||||
"| Model | 480P | 720P |\n| ------------------------------------------------------------ | ---- | ---- |\n| [VACE-1.3B](https://huggingface.co/Wan-AI/Wan2.1-VACE-1.3B) | \u2705 | \u274c |\n| [VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) | \u2705 | \u2705 |"
|
||||
],
|
||||
"color": "#432",
|
||||
"bgcolor": "#000"
|
||||
@ -1516,7 +1516,7 @@
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"Currently, it's difficult to perfectly draw dynamic masks for different frames using only core nodes. However, to avoid requiring users to install additional custom nodes, our templates only use core nodes. You can refer to this implementation idea to achieve video inpainting.\n\nYou can use KJNode’s Points Editor and Sam2Segmentation to create some dynamic mask functions.\n\nCustom node links:\n- [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n- [ComfyUI-segment-anything-2](https://github.com/kijai/ComfyUI-segment-anything-2)"
|
||||
"Currently, it's difficult to perfectly draw dynamic masks for different frames using only core nodes. However, to avoid requiring users to install additional custom nodes, our templates only use core nodes. You can refer to this implementation idea to achieve video inpainting.\n\nYou can use KJNode\u2019s Points Editor and Sam2Segmentation to create some dynamic mask functions.\n\nCustom node links:\n- [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n- [ComfyUI-segment-anything-2](https://github.com/kijai/ComfyUI-segment-anything-2)"
|
||||
],
|
||||
"color": "#432",
|
||||
"bgcolor": "#000"
|
||||
@ -1578,7 +1578,7 @@
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走,过曝，"
|
||||
"\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70,\u8fc7\u66dd\uff0c"
|
||||
],
|
||||
"color": "#223",
|
||||
"bgcolor": "#335"
|
||||
@ -2369,7 +2369,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Inpaint video",
|
||||
"description": "Inpaints masked regions in video frames using Wan2.1 VACE video inpainting model."
|
||||
"description": "Inpaints masked regions in video using Wan2.1 VACE for frame-consistent video inpainting."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -585,7 +585,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video Tools/Stitch videos",
|
||||
"description": "Stitches multiple video clips together into a single sequential video file."
|
||||
"description": "Stitches multiple video clips into a single sequential video file."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -413,7 +413,7 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Enhance video",
|
||||
"description": "Upscales video to 4× resolution using GAN-based real-time video upscaling."
|
||||
"description": "Upscales video to 4\u00d7 resolution using a GAN-based real-time video super-resolution model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
Loading…
Reference in New Issue
Block a user