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CCMat
/
fluffalpaca-llama-v2

Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Model card Files Files and versions
xet
Community
2

Instructions to use CCMat/fluffalpaca-llama-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CCMat/fluffalpaca-llama-v2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CCMat/fluffalpaca-llama-v2", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of fluffalpaca llama in front of the Colosseum in Rome"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
fluffalpaca-llama-v2
5.17 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
CCMat's picture
CCMat
valhalla's picture
valhalla
Add `scale_factor` to vae config. (#1)
44a63c6 over 3 years ago
  • feature_extractor
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  • images
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
    Add `scale_factor` to vae config. (#1) over 3 years ago
  • .gitattributes
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  • README.md
    1.82 kB
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  • model_index.json
    545 Bytes
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