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DonGenialo
/
tti_db_pixel_images_10_local_default

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community

Instructions to use DonGenialo/tti_db_pixel_images_10_local_default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DonGenialo/tti_db_pixel_images_10_local_default with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DonGenialo/tti_db_pixel_images_10_local_default", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a pixel art"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee

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  • checkpoint-10
    End of training about 2 years ago
  • checkpoint-15
    End of training about 2 years ago
  • checkpoint-20
    End of training about 2 years ago
  • checkpoint-25
    End of training about 2 years ago
  • checkpoint-5
    End of training about 2 years ago
  • feature_extractor
    End of training about 2 years ago
  • scheduler
    End of training about 2 years ago
  • text_encoder
    End of training about 2 years ago
  • tokenizer
    End of training about 2 years ago
  • unet
    End of training about 2 years ago
  • vae
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.07 kB
    End of training about 2 years ago
  • model_index.json
    640 Bytes
    End of training about 2 years ago