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on
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Running
on
Zero
File size: 3,741 Bytes
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import node_helpers
import comfy.utils
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"]
return (clip.encode_from_tokens_scheduled(tokens, add_dict={"guidance": guidance}), )
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, )
class FluxDisableGuidance:
@classmethod
def INPUT_TYPES(s):
return {"required": {
"conditioning": ("CONDITIONING", ),
}}
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "advanced/conditioning/flux"
DESCRIPTION = "This node completely disables the guidance embed on Flux and Flux like models"
def append(self, conditioning):
c = node_helpers.conditioning_set_values(conditioning, {"guidance": None})
return (c, )
PREFERED_KONTEXT_RESOLUTIONS = [
(672, 1568),
(688, 1504),
(720, 1456),
(752, 1392),
(800, 1328),
(832, 1248),
(880, 1184),
(944, 1104),
(1024, 1024),
(1104, 944),
(1184, 880),
(1248, 832),
(1328, 800),
(1392, 752),
(1456, 720),
(1504, 688),
(1568, 672),
]
class FluxKontextImageScale:
@classmethod
def INPUT_TYPES(s):
return {"required": {"image": ("IMAGE", ),
},
}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "scale"
CATEGORY = "advanced/conditioning/flux"
DESCRIPTION = "This node resizes the image to one that is more optimal for flux kontext."
def scale(self, image):
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 PREFERED_KONTEXT_RESOLUTIONS)
image = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "lanczos", "center").movedim(1, -1)
return (image, )
class FluxKontextMultiReferenceLatentMethod:
@classmethod
def INPUT_TYPES(s):
return {"required": {
"conditioning": ("CONDITIONING", ),
"reference_latents_method": (("offset", "index"), ),
}}
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
EXPERIMENTAL = True
CATEGORY = "advanced/conditioning/flux"
def append(self, conditioning, reference_latents_method):
c = node_helpers.conditioning_set_values(conditioning, {"reference_latents_method": reference_latents_method})
return (c, )
NODE_CLASS_MAPPINGS = {
"CLIPTextEncodeFlux": CLIPTextEncodeFlux,
"FluxGuidance": FluxGuidance,
"FluxDisableGuidance": FluxDisableGuidance,
"FluxKontextImageScale": FluxKontextImageScale,
"FluxKontextMultiReferenceLatentMethod": FluxKontextMultiReferenceLatentMethod,
}
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