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catvton flux beta

5.0

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Description

RAM 16GB and VRAM 12GB can run this workflow.

I hope someone can perform GGUF quantization on this model, as my hardware cannot handle it.

You can find the model at: https://huggingface.co/xiaozaa/catvton-flux-beta

Please put the merged model file in the ComfyUI/models/diffusion_models/ folder.


python
from safetensors.torch import load_file, save_file

# List of shard files
shards = [
    "diffusion_pytorch_model-00001-of-00003.safetensors",
    "diffusion_pytorch_model-00002-of-00003.safetensors",
    "diffusion_pytorch_model-00003-of-00003.safetensors"
]

# Merge models
merged = {}
for shard in shards:
    print(f"Loading shard: {shard}")
    merged.update(load_file(shard))

# Save merged result
save_file(merged, "merged_model.safetensors")
print("Merge completed: merged_model.safetensors")


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  • - latest (6 months ago)

Primitive Nodes (4)

Anything Everywhere3 (1)

DualCLIPLoaderGGUF (1)

FluxGuidance (1)

LayerUtility: ICMask (1)

Custom Nodes (15)

ComfyUI

  • - InpaintModelConditioning (1)

  • - VAEDecode (1)

  • - KSampler (1)

  • - ConditioningZeroOut (1)

  • - StyleModelApply (1)

  • - PreviewImage (1)

  • - CLIPVisionEncode (1)

  • - LoadImage (2)

  • - UNETLoader (1)

  • - VAELoader (1)

  • - CLIPTextEncode (1)

  • - CLIPVisionLoader (1)

  • - StyleModelLoader (1)

  • - DifferentialDiffusion (1)

Checkpoints (0)

LoRAs (0)