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R1000
/
Analog.RedmondV2

Text-to-Image
Diffusers
stable-diffusion
lora
Model card Files Files and versions
xet
Community

Instructions to use R1000/Analog.RedmondV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use R1000/Analog.RedmondV2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("R1000/Analog.RedmondV2")
    
    prompt = "AnalogRedmAF, Analog"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
Analog.RedmondV2
171 MB
Ctrl+K
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  • 1 contributor
History: 27 commits
R1000's picture
R1000
Update README.md
773a2ff verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • AnalogRedmondV2-Analog-AnalogRedmAF.safetensors
    171 MB
    xet
    Upload AnalogRedmondV2-Analog-AnalogRedmAF.safetensors over 2 years ago
  • README.md
    528 Bytes
    Update README.md 12 months ago