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