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SidXXD
/
m-342

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use SidXXD/m-342 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SidXXD/m-342 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("SidXXD/m-342")
    
    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
m-342 / vae
335 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
SidXXD's picture
SidXXD
End of training
ac93a97 verified over 1 year ago
  • config.json
    667 Bytes
    End of training over 1 year ago
  • diffusion_pytorch_model.safetensors
    335 MB
    xet
    End of training over 1 year ago