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Merge branch 'comfyanonymous:master' into master

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RaINi_ 2024-08-04 16:00:17 +02:00 committed by GitHub
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1 changed files with 12 additions and 2 deletions
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comfy_extras/nodes_model_advanced.py
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@ -2,6 +2,7 @@ import folder_paths
import comfy.sd import comfy.sd
import comfy.model_sampling import comfy.model_sampling
import comfy.latent_formats import comfy.latent_formats
import nodes
import torch import torch
class LCM(comfy.model_sampling.EPS): class LCM(comfy.model_sampling.EPS):
@ -174,7 +175,10 @@ class ModelSamplingFlux:
@classmethod @classmethod
def INPUT_TYPES(s): def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",), return {"required": { "model": ("MODEL",),
"shift": ("FLOAT", {"default": 1.15, "min": 0.0, "max": 100.0, "step":0.01}), "max_shift": ("FLOAT", {"default": 1.15, "min": 0.0, "max": 100.0, "step":0.01}),
"base_shift": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01}),
"width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
"height": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
}} }}
RETURN_TYPES = ("MODEL",) RETURN_TYPES = ("MODEL",)
@ -182,9 +186,15 @@ class ModelSamplingFlux:
CATEGORY = "advanced/model" CATEGORY = "advanced/model"
def patch(self, model, shift): def patch(self, model, max_shift, base_shift, width, height):
m = model.clone() m = model.clone()
x1 = 256
x2 = 4096
mm = (max_shift - base_shift) / (x2 - x1)
b = base_shift - mm * x1
shift = (width * height / (8 * 8 * 2 * 2)) * mm + b
sampling_base = comfy.model_sampling.ModelSamplingFlux sampling_base = comfy.model_sampling.ModelSamplingFlux
sampling_type = comfy.model_sampling.CONST sampling_type = comfy.model_sampling.CONST