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Sri2901
/
Watch_raga

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

Instructions to use Sri2901/Watch_raga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Sri2901/Watch_raga 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("Sri2901/Watch_raga")
    
    prompt = "A photo-realistic still life shoot from a close-up angle about a luxury Rolex watch on a wooden surface with a reflective surface, set against a dark and moody background with soft, warm lighting. the image also shows a gold Rolex Oyster Perpetual Datejust watch with a polished finish and a gold bracelet. on the right side of the image, the watch is placed on a dark surface, with its reflection visible on the wooden surface. the watch has a gold dial with luminous hands and hour markers, and a date window at the 3 o'clock position. the background is blurred, with a subtle, warm light illuminating the watch, creating a sense of depth and dimensionality. the overall mood is sophisticated and sophisticated, with the focus on the watch and its reflection in the dark surface."
    image = pipe(prompt).images[0]
  • Inference
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  • Draw Things
  • DiffusionBee
Watch_raga
6.21 GB
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  • 1 contributor
History: 2 commits
Sri2901's picture
Sri2901
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  • samples
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  • .gitattributes
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  • .job_config.json
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  • README.md
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  • config.yaml
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  • log.txt
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  • optimizer.pt

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch.ByteStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    699 MB
    xet
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  • watch_raga.safetensors
    687 MB
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  • watch_raga_000000500.safetensors
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  • watch_raga_000001000.safetensors
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  • watch_raga_000001500.safetensors
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  • watch_raga_000002000.safetensors
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  • watch_raga_000002500.safetensors
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  • watch_raga_000003000.safetensors
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  • watch_raga_000003500.safetensors
    687 MB
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