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misri
/
epicphotogasm_v4One4All

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community

Instructions to use misri/epicphotogasm_v4One4All with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use misri/epicphotogasm_v4One4All with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("misri/epicphotogasm_v4One4All", 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
epicphotogasm_v4One4All
7.62 GB
Ctrl+K
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  • 1 contributor
History: 24 commits
misri's picture
misri
Upload model_index.json
f7c141b almost 3 years ago
  • feature_extractor
    Delete feature_extractor/q almost 3 years ago
  • safety_checker
    Delete safety_checker/z almost 3 years ago
  • scheduler
    Delete scheduler/z almost 3 years ago
  • text_encoder
    Delete text_encoder/q almost 3 years ago
  • tokenizer
    Delete tokenizer/z almost 3 years ago
  • unet
    Delete unet/f almost 3 years ago
  • vae
    Delete vae/v almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    23 Bytes
    initial commit almost 3 years ago
  • epicphotogasm_v4One4All.safetensors
    2.13 GB
    xet
    Upload epicphotogasm_v4One4All.safetensors almost 3 years ago
  • model_index.json
    579 Bytes
    Upload model_index.json almost 3 years ago