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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Add model card
Verified signatureThis PR adds a comprehensive model card for the paper "Universal Few-Shot Spatial Control for Diffusion Models". This includes: - Linking to the official paper: [Universal Few-Shot Spatial Control for Diffusion Models](https://huggingface.co/papers/2509.07530). - Including a direct link to the GitHub repository: https://github.com/kietngt00/UFC. - Adding `pipeline_tag: text-to-image` for better discoverability on the Hub. - Adding `library_name: diffusers`, as the implementation is explicitly based on the Diffusers library. - Incorporating the abstract and the detailed model checkpoints table from the original repository for user convenience and completeness.c781764 -
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
5a20742
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update ft UNet checkpoint for depth, normal
296db37
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add DiT checkpoints: pose
be7119e -
add DiT checkpoints
e09b318 -
add DiT checkpoints
76dad3a -
reorganize the UNet checkpoints
1b0590a -
add: fine-tuned checkpoint for UNet model
2aea883 -
add: meta-train checkpoint for UNet model
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initial commit
Verified signature9e651f9