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linhqyy
/
jazzy

Text-to-Image
Diffusers
flux
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use linhqyy/jazzy 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("linhqyy/jazzy")
    
    prompt = "This is a digital drawing with a warm, cozy, and slightly vintage aesthetic. The scene depicts a cozy living room setting with a light beige wall adorned with framed art and a small, black-and-white abstract print. In the foreground, a fluffy, cream-colored cat with a slightly darker face and ears sits attentively on a wooden shelf. To the left, a potted plant with small, colorful flowers and a lit candle in a brown vase provide a soft, inviting ambiance. The shelf holds a variety of items: a stack of colorful books, a vintage camera, and a green record player with a yellow record on it. The record player has a black needle and a small speaker. To the right of the cat, a green, retro-style radio is visible. The background features a small, round rug with a textured pattern, adding to the homely feel. The overall style is charming and nostalgic, with a focus on warm, earthy tones and a sense of comfort."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
jazzy
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  • 1 contributor
History: 3 commits
linhqyy's picture
linhqyy
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  • samples
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  • .gitattributes
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  • README.md
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  • config.yaml
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  • jazzy.safetensors
    344 MB
    xet
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  • jazzy_000001000.safetensors
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    xet
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  • jazzy_000003000.safetensors
    344 MB
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  • jazzy_000004000.safetensors
    344 MB
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  • optimizer.pt
    350 MB
    xet
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