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MarcosRodrigo
/
mrt-model

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use MarcosRodrigo/mrt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MarcosRodrigo/mrt-model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("MarcosRodrigo/mrt-model")
    
    prompt = "a photo of mrt"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
mrt-model
16.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
MarcosRodrigo's picture
MarcosRodrigo
End of training
0e61825 verified about 1 year ago
  • checkpoint-1000
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  • feature_extractor
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  • logs
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • .gitattributes
    1.52 kB
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  • README.md
    1.26 kB
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  • model_index.json
    693 Bytes
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  • pytorch_lora_weights.safetensors
    89 MB
    xet
    End of training about 1 year ago