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Thayselimacosta
/
Kodak

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

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

  • Libraries
  • Diffusers

    How to use Thayselimacosta/Kodak with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Thayselimacosta/Kodak")
    
    prompt = "soft ambient light photograph of a ginger cat sitting on a pile of cozy blankets near a large window, overcast daylight coming through, natural light diffusion, shallow depth of field, slight grain effect for a vintage film look, visible fabric textures on the blankets, soft focus on the background, dreamy and atmospheric mood, taken with a 35mm lens, color grading in warm and muted tones, storytelling documentary style"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Kodak
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Thayselimacosta's picture
Thayselimacosta
Add 4 files
97807f6 verified about 1 year ago
  • images
    Add 4 files about 1 year ago
  • .gitattributes
    2.31 kB
    initial commit about 1 year ago
  • README.md
    2.99 kB
    initial commit about 1 year ago
  • moody_kodachrome_fluxLoRA_v01.safetensors
    172 MB
    xet
    Add 4 files about 1 year ago