Instructions to use chentxxx/orange_T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chentxxx/orange_T with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chentxxx/orange_T") prompt = "An orange T-shirt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.bin from chentxxx/orange_T: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/chentxxx/orange_T/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://chentxxx/orange_T/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/chentxxx/orange_T/resolve/main/pytorch_lora_weights.bin
3.29 MB
- Xet hash:
- df5d871f088ec9a399f36d15addabc892e1c979ec8e2e8b785018f9ce22278ef
- Size of remote file:
- 3.29 MB
- SHA256:
- 4be05d71523760bd07c80b7fcdfda345c6b17b0e908cf23554a96f0451bf2513
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