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Jonjew
/
DPCyberFantasyFusion

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/DPCyberFantasyFusion 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/DPCyberFantasyFusion")
    
    prompt = "Enhances images with a vibrant cyber-fantasy style, blending futuristic aesthetics with intricate details and traditional Japanese influences  trigger: cyberFantasy art style Strength: 0.5-1.0, look for the sweet spot uploaded images rendered with shuttle-3 model  you can add it to any prompt, this is the base prompt used for the uploaded images, just change your scene description: #sceneDescription, Vibrant cyber-fantasy with intricate details, bold outlines, and a fusion of futuristic and traditional Japanese aesthetics. Smooth gradients, high contrast lighting, semi-realistic yet stylized rendering"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
DPCyberFantasyFusion
41.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 2 files
e89d50d verified over 1 year ago
  • images
    Add 2 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • DP_Cyber_Fantasy_Fusion_FLUX_cyberFantasy.safetensors
    39.8 MB
    xet
    Add 2 files over 1 year ago
  • README.md
    2.05 kB
    initial commit over 1 year ago