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pandaphd
/
generative_photography

Text-to-Video
Diffusers
Safetensors
English
video generation
image generation
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Diffusers

    How to use pandaphd/generative_photography with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("pandaphd/generative_photography", 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
generative_photography / stable-diffusion-v1-5
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  • 1 contributor
History: 1 commit
pandaphd's picture
pandaphd
add SD1.5 and unet-merged
92c2956 about 1 year ago
  • feature_extractor
    add SD1.5 and unet-merged about 1 year ago
  • safety_checker
    add SD1.5 and unet-merged about 1 year ago
  • scheduler
    add SD1.5 and unet-merged about 1 year ago
  • text_encoder
    add SD1.5 and unet-merged about 1 year ago
  • tokenizer
    add SD1.5 and unet-merged about 1 year ago
  • unet_merged
    add SD1.5 and unet-merged about 1 year ago
  • vae
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  • .gitattributes
    1.52 kB
    add SD1.5 and unet-merged about 1 year ago
  • README.md
    14.5 kB
    add SD1.5 and unet-merged about 1 year ago
  • model_index.json
    543 Bytes
    add SD1.5 and unet-merged about 1 year ago