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ABDALLALSWAITI
/
FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8

Text-to-Image
Diffusers
Safetensors
English
quantized
fp8
e4m3
Text-to-Image
ControlNet
Diffusers
Flux.1-dev
image-generation
Stable Diffusion
quantization
reduced-precision
Model card Files Files and versions
xet
Community
2

Instructions to use ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
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  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
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RuntimeError: mat1 and mat2 must have the same dtype, but got BFloat16 and Float8_e4m3fn

1
#2 opened 11 days ago by
kumarcaptury
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