nodes/cubiq-ComfyUI_essentials
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small clean up

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matt3o
2024-04-12 09:42:04 +02:00
parent 78fa0fdc39
commit bd9b89b7c9
1 changed files with 2 additions and 3 deletions
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essentials.py
+2 -3
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@@ -1262,8 +1262,7 @@ class KSamplerVariationsWithNoise:
# Calculate sigma
comfy.model_management.load_model_gpu(model)
model_patcher = comfy.model_patcher.ModelPatcher(model.model, load_device=device, offload_device=comfy.model_management.unet_offload_device())
sampler = comfy.samplers.KSampler(model_patcher, steps=steps, device=device, sampler=sampler_name, scheduler=scheduler, denoise=1.0, model_options=model.model_options)
sampler = comfy.samplers.KSampler(model, steps=steps, device=device, sampler=sampler_name, scheduler=scheduler, denoise=1.0, model_options=model.model_options)
sigmas = sampler.sigmas
sigma = sigmas[start_at_step] - sigmas[end_at_step]
sigma /= model.model.latent_format.scale_factor
@@ -1496,7 +1495,7 @@ class PixelOEPixelize:
"image": ("IMAGE",),
"downscale_mode": (["contrast", "bicubic", "nearest", "center", "k-centroid"],),
"target_size": ("INT", { "default": 128, "min": 1, "max": MAX_RESOLUTION, "step": 16 }),
"patch_size": ("INT", { "default": 16, "min": 4, "max": 32, "step": 1 }),
"patch_size": ("INT", { "default": 16, "min": 4, "max": 32, "step": 2 }),
"thickness": ("INT", { "default": 2, "min": 1, "max": 16, "step": 1 }),
#"contrast": ("FLOAT", { "default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1 }),
#"saturation": ("FLOAT", { "default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1 }),