RefurnishAI / comfy_extras /nodes_flux.py
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import node_helpers
class CLIPTextEncodeFlux:
@classmethod
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:
@classmethod
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,
}