Instructions to use anonymousModelsTimeCSL/TimeCSL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anonymousModelsTimeCSL/TimeCSL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ali-vilab/In-Context-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anonymousModelsTimeCSL/TimeCSL") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download model-1-identifiability-AE.zip from anonymousModelsTimeCSL/TimeCSL: direct link, hf CLI and curl.
- Browser
- Download file 398 MB
-
https://huggingface.co/anonymousModelsTimeCSL/TimeCSL/resolve/main/model-1-identifiability-AE.zip
- Command line
-
hf download hf://anonymousModelsTimeCSL/TimeCSL/model-1-identifiability-AE.zip
-
curl -L -o model-1-identifiability-AE.zip https://huggingface.co/anonymousModelsTimeCSL/TimeCSL/resolve/main/model-1-identifiability-AE.zip
398 MB
- Xet hash:
- 126e6eb4a4a14ca1f8131dfb7a15237873dce5c1961d6bb8f989d61c54ec576d
- Size of remote file:
- 398 MB
- SHA256:
- ba74c52129e13be0154ffea167a15c02974654f39b5d1477189962e7e5d92e31
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