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ccc8
/
c0

Text-to-Image
Diffusers
stable-diffusion
lora
Model card Files Files and versions
xet
Community

Instructions to use ccc8/c0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ccc8/c0 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalleV1.1", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ccc8/c0")
    
    prompt = "masterpiece forest"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
c0
8.79 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ccc8's picture
ccc8
Upload cinematic lighting.safetensors
11b467e verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    154 Bytes
    Update README.md about 2 years ago
  • cinematic lighting.safetensors
    8.79 MB
    xet
    Upload cinematic lighting.safetensors about 2 years ago