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mwaqarakram
/
PVEL-Text-to-image-Generator-1

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use mwaqarakram/PVEL-Text-to-image-Generator-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mwaqarakram/PVEL-Text-to-image-Generator-1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mwaqarakram/PVEL-Text-to-image-Generator-1", 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 Settings
  • Draw Things
  • DiffusionBee

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