Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

AmdGoose
/
FLUX.2-dev-transformer-int8wo

Text-to-Image
Diffusers
image-generation
quantization
int8
torchao
amd
rocm
Model card Files Files and versions
xet
Community

Instructions to use AmdGoose/FLUX.2-dev-transformer-int8wo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AmdGoose/FLUX.2-dev-transformer-int8wo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AmdGoose/FLUX.2-dev-transformer-int8wo", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
FLUX.2-dev-transformer-int8wo
70.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
AmdGoose's picture
AmdGoose
Update README documentation
b8eb85a 4 months ago
  • transformer_attn_int8wo
    Update README + attention-only INT8WO transformer 4 months ago
  • transformer_int8wo
    Add INT8 weight-only quantized transformer for FLUX.2-dev 4 months ago
  • .gitattributes
    42 Bytes
    Update README documentation 4 months ago
  • README.md
    2.17 kB
    Update README documentation 4 months ago
  • quantize_transformer_int8wo.py
    952 Bytes
    Add INT8 weight-only quantized transformer for FLUX.2-dev 4 months ago
  • requirements.txt
    119 Bytes
    Add INT8 weight-only quantized transformer for FLUX.2-dev 4 months ago
  • upload_hf.py
    348 Bytes
    Add INT8 weight-only quantized transformer for FLUX.2-dev 4 months ago