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ainjarts
/
output

Text-to-Image
Diffusers
TensorBoard
Safetensors
Sana
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
diffusers-training
lora
sana-diffusers
template:sd-lora
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use ainjarts/output with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("darkstorm2150/Protogen_x3.4_Official_Release", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ainjarts/output")
    
    prompt = "a photo of ohwx woman"
    image = pipe(prompt).images[0]
  • Sana

    How to use ainjarts/output with Sana:

    # Load the model and infer image from text
    import torch
    from app.sana_pipeline import SanaPipeline
    from torchvision.utils import save_image
    
    sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml")
    sana.from_pretrained("hf://ainjarts/output")
    
    image = sana(
        prompt='a cyberpunk cat with a neon sign that says "Sana"',
        height=1024,
        width=1024,
        guidance_scale=5.0,
        pag_guidance_scale=2.0,
        num_inference_steps=18,
    ) 
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
output
6.14 GB
Ctrl+K
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  • 1 contributor
History: 9 commits
ainjarts's picture
ainjarts
End of training
5fdeee4 verified over 1 year ago
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  • README.md
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  • image_0.png
    1.56 MB
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  • image_1.png
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  • model_index.json
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  • pytorch_lora_weights.safetensors
    4.33 MB
    xet
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