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viaparadiso
/
ci

Text-to-Image
Diffusers
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community

Instructions to use viaparadiso/ci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use viaparadiso/ci with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("viaparadiso/ci")
    
    prompt = "ci"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ci
159 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
viaparadiso's picture
viaparadiso
Upload folder using huggingface_hub
0451fd8 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    641 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • ci-000004.safetensors
    39.8 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • ci-000008.safetensors
    39.8 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • ci-000012.safetensors
    39.8 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • ci.safetensors
    39.8 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • dataset.toml
    244 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • sample_prompts.txt
    2 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • train.sh
    1.13 kB
    Upload folder using huggingface_hub about 1 year ago