Instructions to use ntk1507/UFC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ntk1507/UFC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ntk1507/UFC", 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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Upload folder using huggingface_hub
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Add model card (#2)
Verified signature- Add model card (c7817644b60c1ac1092ca2fdffb0841b025f8c7b) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>fb9851e -
Improve model card: Add pipeline tag, library name, links, and usage details (#1)
Verified signature- Improve model card: Add pipeline tag, library name, links, and usage details (162927f0b72ce4f2b4c8a2d858e3ab19d17ddb0e) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>2283326
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fix checkpoint densepose unet
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update ft UNet checkpoint for depth, normal
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add DiT checkpoints: pose
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add DiT checkpoints
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add DiT checkpoints
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reorganize the UNet checkpoints
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add: fine-tuned checkpoint for UNet model
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add: meta-train checkpoint for UNet model
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initial commit
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