Instructions to use onkarsus13/ViCTr-BTCV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/ViCTr-BTCV with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onkarsus13/ViCTr-BTCV", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Rename BiFlowNet_0453500.pt to VicTr3D_MRI_CT_Pretrained.pt
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Rename PatchVolume_8x_s2.ckpt to 3DVAE.ckpt
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Upload BiFlowNet_0453500.pt
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Upload PatchVolume_8x_s2.ckpt
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Upload VicTr Cirrhosis weights
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initial commit
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