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Svngoku
/
studiopellosh

Text-to-Image
Diffusers
Trained with AutoTrain
spacerunner
flux
lora
template:sd-lora
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Diffusers

    How to use Svngoku/studiopellosh with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Svngoku/studiopellosh")
    
    prompt = "A 12k man and is baby from Congo the 70s in style of Studio Pellosh"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
studiopellosh / samples
347 kB
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  • 1 contributor
History: 3 commits
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