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Jonjew
/
MysticFusion

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use Jonjew/MysticFusion 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("Jonjew/MysticFusion")
    
    prompt = "A dinkwfsn style painting,  A cyber-sorceress with mechanical arms stands on a platform high above a neon-lit city, casting a spell that manipulates the flow of time. The city below is a chaotic blur of lights and movement, while the sorceress remains perfectly still, her body surrounded by glowing symbols and digital patterns. The atmosphere is futuristic and intense, with neon reflections illuminating her face. The composition is a medium shot from below, capturing her as a powerful figure against the backdrop of the city., <lora:Mystic-Fusion_v10:1>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
MysticFusion
Ctrl+K
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  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 14 files
2f777ae verified over 1 year ago
  • images
    Add 14 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • Mystic-Fusion_v10.safetensors
    159 MB
    xet
    Add 14 files over 1 year ago
  • README.md
    13.7 kB
    initial commit over 1 year ago