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prithivMLmods
/
Canopus-LoRA-Flux-UltraRealism-2.0

Text-to-Image
Diffusers
lora
template:diffusion-lora
flux-dev
ultra
realism
photorealism
hi-res
face
diffusion
UltraRealism
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0 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("prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0")
    
    prompt = "Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Canopus-LoRA-Flux-UltraRealism-2.0 / images
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