Instructions to use Luo-Yihong/TDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luo-Yihong/TDM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luo-Yihong/TDM", 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
Download user_study.jpg from Luo-Yihong/TDM: direct link, hf CLI and curl.
- Browser
- Download file 2.81 MB
-
https://huggingface.co/Luo-Yihong/TDM/resolve/main/user_study.jpg
- Command line
-
hf download hf://Luo-Yihong/TDM/user_study.jpg
-
curl -L -o user_study.jpg https://huggingface.co/Luo-Yihong/TDM/resolve/main/user_study.jpg
2.81 MB

- Xet hash:
- a94fc1bfc0036684ac397c7803bbd36357690bc231ae9d4ab5b6d30c6408600e
- Size of remote file:
- 2.81 MB
- SHA256:
- 3ced8a674a1d4b194eb3a1bc167a111ca5fa63157687699d5e2a57850b5794a7
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