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no3
/
mia-sd-1.5-beta1

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
3

Instructions to use no3/mia-sd-1.5-beta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use no3/mia-sd-1.5-beta1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("no3/mia-sd-1.5-beta1", 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
  • Draw Things
  • DiffusionBee
mia-sd-1.5-beta1
5.49 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
779b72c about 3 years ago
  • concept_images
    add the concept images over 3 years ago
  • feature_extractor
    first commit over 3 years ago
  • safety_checker
    first commit over 3 years ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1) over 3 years ago
  • text_encoder
    first commit over 3 years ago
  • tokenizer
    first commit over 3 years ago
  • unet
    first commit over 3 years ago
  • vae
    Add `scale_factor` to vae config. (#2) over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.17 kB
    add a note about convert diffusers to checkpoint file over 3 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3) about 3 years ago