Spaces:
Running
on
Zero
Running
on
Zero
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, | |
} | |