Instructions to use phil13579/test_custom_handler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phil13579/test_custom_handler 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("phil13579/test_custom_handler") prompt = "ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e8fcb7a861fcb3b98e9a1872339ec1b506374c9b34cf67022c5cdd8caa72d9bc
- Size of remote file:
- 2.02 MB
- SHA256:
- 7c665acb669d92ca839d8c6bbdf3fb8c0ff9c9f24bd1f91bb3215d941fcd63b2
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