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31
.github/workflows/openapi-lint.yml
vendored
Normal file
31
.github/workflows/openapi-lint.yml
vendored
Normal file
@ -0,0 +1,31 @@
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name: OpenAPI Lint
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on:
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pull_request:
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paths:
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- 'openapi.yaml'
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- '.spectral.yaml'
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- '.github/workflows/openapi-lint.yml'
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permissions:
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contents: read
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jobs:
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spectral:
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name: Run Spectral
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Node.js
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uses: actions/setup-node@v4
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with:
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node-version: '20'
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- name: Install Spectral
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run: npm install -g @stoplight/spectral-cli@6
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- name: Lint openapi.yaml
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run: spectral lint openapi.yaml --ruleset .spectral.yaml --fail-severity=error
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91
.spectral.yaml
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91
.spectral.yaml
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@ -0,0 +1,91 @@
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extends:
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- spectral:oas
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# Severity levels: error, warn, info, hint, off
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# Rules from the built-in "spectral:oas" ruleset are active by default.
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# Below we tune severity and add custom rules for our conventions.
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#
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# This ruleset mirrors Comfy-Org/cloud/.spectral.yaml so specs across the
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# organization are linted against a single consistent standard.
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rules:
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# -----------------------------------------------------------------------
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# Built-in rule severity overrides
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# -----------------------------------------------------------------------
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operation-operationId: error
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operation-description: warn
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operation-tag-defined: error
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info-contact: off
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info-description: warn
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no-eval-in-markdown: error
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no-$ref-siblings: error
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# -----------------------------------------------------------------------
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# Custom rules: naming conventions
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# -----------------------------------------------------------------------
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# Property names should be snake_case
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property-name-snake-case:
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description: Property names must be snake_case
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severity: warn
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given: "$.components.schemas.*.properties[*]~"
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then:
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function: pattern
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functionOptions:
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match: "^[a-z][a-z0-9]*(_[a-z0-9]+)*$"
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# Operation IDs should be camelCase
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operation-id-camel-case:
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description: Operation IDs must be camelCase
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severity: warn
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given: "$.paths.*.*.operationId"
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then:
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function: pattern
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functionOptions:
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match: "^[a-z][a-zA-Z0-9]*$"
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# -----------------------------------------------------------------------
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# Custom rules: response conventions
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# -----------------------------------------------------------------------
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# Error responses (4xx, 5xx) should use a consistent shape
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error-response-schema:
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description: Error responses should reference a standard error schema
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severity: hint
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given: "$.paths.*.*.responses[?(@property >= '400' && @property < '600')].content['application/json'].schema"
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then:
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field: "$ref"
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function: truthy
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# All 2xx responses with JSON body should have a schema
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response-schema-defined:
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description: Success responses with JSON content should define a schema
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severity: warn
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given: "$.paths.*.*.responses[?(@property >= '200' && @property < '300')].content['application/json']"
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then:
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field: schema
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function: truthy
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# -----------------------------------------------------------------------
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# Custom rules: best practices
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# -----------------------------------------------------------------------
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# Path parameters must have a description
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path-param-description:
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description: Path parameters should have a description
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severity: warn
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given:
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- "$.paths.*.parameters[?(@.in == 'path')]"
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- "$.paths.*.*.parameters[?(@.in == 'path')]"
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then:
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field: description
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function: truthy
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# Schemas should have a description
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schema-description:
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description: Component schemas should have a description
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severity: hint
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given: "$.components.schemas.*"
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then:
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field: description
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function: truthy
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@ -1,2 +1,2 @@
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# Admins
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* @comfyanonymous @kosinkadink @guill
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* @comfyanonymous @kosinkadink @guill @alexisrolland @rattus128
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@ -342,6 +342,12 @@ def model_lora_keys_unet(model, key_map={}):
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key_map["base_model.model.{}".format(key_lora)] = k # Official base model loras
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key_map["lycoris_{}".format(key_lora.replace(".", "_"))] = k # LyCORIS/LoKR format
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if isinstance(model, comfy.model_base.ErnieImage):
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for k in sdk:
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if k.startswith("diffusion_model.") and k.endswith(".weight"):
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key_lora = k[len("diffusion_model."):-len(".weight")]
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key_map["transformer.{}".format(key_lora)] = k
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return key_map
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@ -1879,6 +1879,86 @@ class CogVideoX_I2V(CogVideoX_T2V):
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out = model_base.CogVideoX(self, image_to_video=True, device=device)
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return out
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models = [LotusD, Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, LongCatImage, FluxSchnell, GenmoMochi, LTXV, LTXAV, HunyuanVideo15_SR_Distilled, HunyuanVideo15, HunyuanImage21Refiner, HunyuanImage21, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, CosmosT2IPredict2, CosmosI2VPredict2, ZImagePixelSpace, ZImage, Lumina2, WAN22_T2V, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, WAN21_Vace, WAN21_Camera, WAN22_Camera, WAN22_S2V, WAN21_HuMo, WAN22_Animate, WAN21_FlowRVS, WAN21_SCAIL, Hunyuan3Dv2mini, Hunyuan3Dv2, Hunyuan3Dv2_1, HiDream, Chroma, ChromaRadiance, ACEStep, ACEStep15, Omnigen2, QwenImage, Flux2, Kandinsky5Image, Kandinsky5, Anima, RT_DETR_v4, ErnieImage, SAM3, SAM31, CogVideoX_I2V, CogVideoX_T2V]
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models += [SVD_img2vid]
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models = [
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LotusD,
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Stable_Zero123,
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SD15_instructpix2pix,
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SD15,
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SD20,
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SD21UnclipL,
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SD21UnclipH,
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SDXL_instructpix2pix,
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SDXLRefiner,
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SDXL,
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SSD1B,
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KOALA_700M,
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KOALA_1B,
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Segmind_Vega,
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SD_X4Upscaler,
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Stable_Cascade_C,
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Stable_Cascade_B,
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SV3D_u,
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SV3D_p,
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SD3,
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StableAudio,
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AuraFlow,
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PixArtAlpha,
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PixArtSigma,
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HunyuanDiT,
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HunyuanDiT1,
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FluxInpaint,
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Flux,
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LongCatImage,
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FluxSchnell,
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GenmoMochi,
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LTXV,
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LTXAV,
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HunyuanVideo15_SR_Distilled,
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HunyuanVideo15,
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HunyuanImage21Refiner,
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HunyuanImage21,
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HunyuanVideoSkyreelsI2V,
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HunyuanVideoI2V,
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HunyuanVideo,
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CosmosT2V,
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CosmosI2V,
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CosmosT2IPredict2,
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CosmosI2VPredict2,
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ZImagePixelSpace,
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ZImage,
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Lumina2,
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WAN22_T2V,
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WAN21_T2V,
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WAN21_I2V,
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WAN21_FunControl2V,
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WAN21_Vace,
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WAN21_Camera,
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WAN22_Camera,
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WAN22_S2V,
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WAN21_HuMo,
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WAN22_Animate,
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WAN21_FlowRVS,
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WAN21_SCAIL,
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Hunyuan3Dv2mini,
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Hunyuan3Dv2,
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Hunyuan3Dv2_1,
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HiDream,
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Chroma,
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ChromaRadiance,
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ACEStep,
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ACEStep15,
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Omnigen2,
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QwenImage,
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Flux2,
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Kandinsky5Image,
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Kandinsky5,
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Anima,
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RT_DETR_v4,
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ErnieImage,
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SAM3,
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SAM31,
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CogVideoX_I2V,
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CogVideoX_T2V,
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SVD_img2vid,
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]
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|
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@ -290,7 +290,7 @@ class VideoFromFile(VideoInput):
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alphas = []
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alpha_channel = True
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break
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if frame.format.name in ("yuvj420p", "rgb24", "rgba", "pal8"):
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if frame.format.name in ("yuvj420p", "yuvj422p", "yuvj444p", "rgb24", "rgba", "pal8"):
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process_image_format = lambda a: a.float() / 255.0
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if alpha_channel:
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image_format = 'rgba'
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@ -454,7 +454,6 @@ class OpenAIGPTImage1(IO.ComfyNode):
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step=16,
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tooltip="Used only when `size` is 'Custom'. Must be a multiple of 16 (GPT Image 2 only).",
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optional=True,
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advanced=True,
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),
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IO.Int.Input(
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"custom_height",
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@ -464,7 +463,6 @@ class OpenAIGPTImage1(IO.ComfyNode):
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step=16,
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tooltip="Used only when `size` is 'Custom'. Must be a multiple of 16 (GPT Image 2 only).",
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optional=True,
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advanced=True,
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),
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],
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outputs=[
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@ -1,5 +1,5 @@
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comfyui-frontend-package==1.42.15
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comfyui-workflow-templates==0.9.63
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comfyui-workflow-templates==0.9.65
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comfyui-embedded-docs==0.4.4
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torch
|
||||
torchsde
|
||||
|
||||
Loading…
Reference in New Issue
Block a user