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ayan4m1
/
trinart_diffusers_v2

Diffusers
LDMTextToImagePipeline
Model card Files Files and versions
xet
Community
1

Instructions to use ayan4m1/trinart_diffusers_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ayan4m1/trinart_diffusers_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("ayan4m1/trinart_diffusers_v2", 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
trinart_diffusers_v2
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  • 3 contributors
History: 5 commits
ayan4m1's picture
ayan4m1
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#1)
bdba22d about 3 years ago
  • feature_extractor
    initial import over 3 years ago
  • safety_checker
    initial import over 3 years ago
  • scheduler
    initial import over 3 years ago
  • text_encoder
    initial import over 3 years ago
  • tokenizer
    initial import over 3 years ago
  • unet
    initial import over 3 years ago
  • vae
    initial import over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    303 Bytes
    update README.md over 3 years ago
  • model_index.json
    545 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#1) about 3 years ago