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Jonjew
/
DPCyberReality

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/DPCyberReality 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/DPCyberReality")
    
    prompt = "hyper realistic photo of a cyber woman robot with a samurai sword, cymechfutu style,  dark urban background, full body view, epic combat pose, sharp focus, realistic shadings, detailed mechanical electric parts , epic futuristic scene, cinematic dramatic lighting, Cybernetic, best quality, ultra detailed game art, Cybernetic"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
DPCyberReality
122 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 3 files
8248f43 verified about 1 year ago
  • images
    Add 3 files about 1 year ago
  • .gitattributes
    2.31 kB
    initial commit about 1 year ago
  • DP_Cyber_Reality_Flux_v01_cymechfutu.safetensors
    119 MB
    xet
    Add 3 files about 1 year ago
  • README.md
    1.7 kB
    initial commit about 1 year ago