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Aikimi
/
Forge-Neo-Image-2.1-Turbo-INT8

Text-to-Image
Diffusers
Safetensors
English
Japanese
qwen-image-2.1
image-editing
quantization
int8
forge-neo
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use Aikimi/Forge-Neo-Image-2.1-Turbo-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Aikimi/Forge-Neo-Image-2.1-Turbo-INT8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Aikimi/Forge-Neo-Image-2.1-Turbo-INT8", 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 Settings
  • Draw Things
  • DiffusionBee
Forge-Neo-Image-2.1-Turbo-INT8
17.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Aikimi's picture
Aikimi
Document editable sampling in Neo 3.9.1
30035d9 verified about 1 month ago
  • text_encoder
    Add files using upload-large-folder tool about 1 month ago
  • transformer
    Add files using upload-large-folder tool about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • CODE_LICENSE
    33.2 kB
    Add files using upload-large-folder tool about 1 month ago
  • LICENSE
    7.83 kB
    Add files using upload-large-folder tool about 1 month ago
  • NOTICE.md
    1.36 kB
    Add files using upload-large-folder tool about 1 month ago
  • README.md
    5.53 kB
    Document editable sampling in Neo 3.9.1 about 1 month ago
  • install.py
    19.1 kB
    Add files using upload-large-folder tool about 1 month ago
  • release_manifest.json
    11.4 kB
    Add files using upload-large-folder tool about 1 month ago