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

- Xet hash:
- ded097579ab7219ed5fd8b0445baecd8e455228b3ef2f78e441ed3e20a901871
- Size of remote file:
- 242 kB
- SHA256:
- 349961c6614df75d31dc5fc637a7422763adc5ae59b0eb7ae7e12b018d5c0ab3
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