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| import node_helpers | |
| class CLIPTextEncodeFlux: | |
| def INPUT_TYPES(s): | |
| return {"required": { | |
| "clip": ("CLIP", ), | |
| "clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), | |
| "t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}), | |
| "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}), | |
| }} | |
| RETURN_TYPES = ("CONDITIONING",) | |
| FUNCTION = "encode" | |
| CATEGORY = "advanced/conditioning/flux" | |
| def encode(self, clip, clip_l, t5xxl, guidance): | |
| tokens = clip.tokenize(clip_l) | |
| tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"] | |
| output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True) | |
| cond = output.pop("cond") | |
| output["guidance"] = guidance | |
| return ([[cond, output]], ) | |
| class FluxGuidance: | |
| def INPUT_TYPES(s): | |
| return {"required": { | |
| "conditioning": ("CONDITIONING", ), | |
| "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}), | |
| }} | |
| RETURN_TYPES = ("CONDITIONING",) | |
| FUNCTION = "append" | |
| CATEGORY = "advanced/conditioning/flux" | |
| def append(self, conditioning, guidance): | |
| c = node_helpers.conditioning_set_values(conditioning, {"guidance": guidance}) | |
| return (c, ) | |
| NODE_CLASS_MAPPINGS = { | |
| "CLIPTextEncodeFlux": CLIPTextEncodeFlux, | |
| "FluxGuidance": FluxGuidance, | |
| } | |