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jschoormans
/
control_pose_diff

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

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

  • Libraries
  • Diffusers

    How to use jschoormans/control_pose_diff with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jschoormans/control_pose_diff", 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
control_pose_diff
6.93 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jschoormans's picture
jschoormans
will this work?
09603a9 about 3 years ago
  • controlnet
    will this work? about 3 years ago
  • feature_extractor
    will this work? about 3 years ago
  • safety_checker
    will this work? about 3 years ago
  • scheduler
    will this work? about 3 years ago
  • text_encoder
    will this work? about 3 years ago
  • tokenizer
    will this work? about 3 years ago
  • unet
    will this work? about 3 years ago
  • vae
    will this work? about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • model_index.json
    661 Bytes
    will this work? about 3 years ago