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dataautogpt3
/
TempestV0.1

Text-to-Image
Diffusers
StableDiffusionXLPipeline
Model card Files Files and versions
xet
Community
7

Instructions to use dataautogpt3/TempestV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dataautogpt3/TempestV0.1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dataautogpt3/TempestV0.1", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Food photography style photo RAW,piece of fried grilled meat, splashes of ketchup and mustard sauce, (rosemary), spices, exceptional shallow depth-of-field capabilities, atmospheric haze blur,vivid colors,high quality textures of materials, volumetric textures, coating textures, metal textures . Appetizing, professional, culinary, high-resolution, commercial, highly detailed"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
TempestV0.1
27.8 GB
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  • 1 contributor
History: 36 commits
dataautogpt3's picture
dataautogpt3
Update README.md
743c36c verified about 2 years ago
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  • .gitattributes
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  • TempestV0.1-Artistic.safetensors
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  • TempestV0.1-Base.safetensors
    6.94 GB
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