from comfy import node_helpers import comfy.utils from typing_extensions import override from comfy_api.latest import ComfyExtension, io from ..constants.resolutions import KONTEXT_RESOLUTIONS class CLIPTextEncodeFlux(io.ComfyNode): @classmethod def define_schema(cls): return io.Schema( node_id="CLIPTextEncodeFlux", category="advanced/conditioning/flux", inputs=[ io.Clip.Input("clip"), io.String.Input("clip_l", multiline=True, dynamic_prompts=True), io.String.Input("t5xxl", multiline=True, dynamic_prompts=True), io.Float.Input("guidance", default=3.5, min=0.0, max=100.0, step=0.1), ], outputs=[ io.Conditioning.Output(), ], ) @classmethod def execute(cls, clip, clip_l, t5xxl, guidance) -> io.NodeOutput: tokens = clip.tokenize(clip_l) tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"] return io.NodeOutput(clip.encode_from_tokens_scheduled(tokens, add_dict={"guidance": guidance})) encode = execute # TODO: remove class FluxGuidance(io.ComfyNode): @classmethod def define_schema(cls): return io.Schema( node_id="FluxGuidance", category="advanced/conditioning/flux", inputs=[ io.Conditioning.Input("conditioning"), # guidance is allowed to be negative to support inverse sampling io.Float.Input("guidance", default=3.5, min=-100.0, max=100.0, step=0.1), ], outputs=[ io.Conditioning.Output(), ], ) @classmethod def execute(cls, conditioning, guidance) -> io.NodeOutput: c = node_helpers.conditioning_set_values(conditioning, {"guidance": guidance}) return io.NodeOutput(c) append = execute # TODO: remove class FluxDisableGuidance(io.ComfyNode): @classmethod def define_schema(cls): return io.Schema( node_id="FluxDisableGuidance", category="advanced/conditioning/flux", description="This node completely disables the guidance embed on Flux and Flux like models", inputs=[ io.Conditioning.Input("conditioning"), ], outputs=[ io.Conditioning.Output(), ], ) @classmethod def execute(cls, conditioning) -> io.NodeOutput: c = node_helpers.conditioning_set_values(conditioning, {"guidance": None}) return io.NodeOutput(c) append = execute # TODO: remove class FluxKontextImageScale(io.ComfyNode): @classmethod def define_schema(cls): return io.Schema( node_id="FluxKontextImageScale", category="advanced/conditioning/flux", description="This node resizes the image to one that is more optimal for flux kontext.", inputs=[ io.Image.Input("image"), ], outputs=[ io.Image.Output(), ], ) @classmethod def execute(cls, image) -> io.NodeOutput: width = image.shape[2] height = image.shape[1] aspect_ratio = width / height _, width, height = min((abs(aspect_ratio - w / h), w, h) for w, h in KONTEXT_RESOLUTIONS) image = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "lanczos", "center").movedim(1, -1) return io.NodeOutput(image) scale = execute # TODO: remove class FluxKontextMultiReferenceLatentMethod(io.ComfyNode): @classmethod def define_schema(cls): return io.Schema( node_id="FluxKontextMultiReferenceLatentMethod", category="advanced/conditioning/flux", inputs=[ io.Conditioning.Input("conditioning"), io.Combo.Input( "reference_latents_method", options=["offset", "index", "uxo/uno"], ), ], outputs=[ io.Conditioning.Output(), ], is_experimental=True, ) @classmethod def execute(cls, conditioning, reference_latents_method) -> io.NodeOutput: if "uxo" in reference_latents_method or "uso" in reference_latents_method: reference_latents_method = "uxo" c = node_helpers.conditioning_set_values(conditioning, {"reference_latents_method": reference_latents_method}) return io.NodeOutput(c) append = execute # TODO: remove class FluxExtension(ComfyExtension): @override async def get_node_list(self) -> list[type[io.ComfyNode]]: return [ CLIPTextEncodeFlux, FluxGuidance, FluxDisableGuidance, FluxKontextImageScale, FluxKontextMultiReferenceLatentMethod, ] async def comfy_entrypoint() -> FluxExtension: return FluxExtension()