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bartar
/
prci

Text-to-Image
Diffusers
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community
5

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

  • Libraries
  • Diffusers

    How to use bartar/prci 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-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("bartar/prci")
    
    prompt = "Photorealistic photo of prci, gray nissan qashqai, standing on a grey brick pavement, trees and blue sky in the background. Taken by phone"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
prci
159 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
Bartek
Add generated example (#5)
d0e4434 verified about 1 year ago
  • images
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  • .gitattributes
    1.84 kB
    Add generated example (#5) about 1 year ago
  • README.md
    1.85 kB
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  • dataset.toml
    300 Bytes
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  • photorealistic-car-images.safetensors
    159 MB
    xet
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  • sample_prompts.txt
    0 Bytes
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  • train.bat
    1.54 kB
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  • uploader.py
    1.57 kB
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