Instructions to use testacc1662/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use testacc1662/test-model 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("testacc1662/test-model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 11b6752174ff14d34d92c8e531ecfb0850991a324b4f1f3fbfb929d5b47bd177
- Size of remote file:
- 6.59 MB
- SHA256:
- 3933a6e62ae633f4351dbd4dc4183303a6536a342f24a98f5ef0d2f4791b5db6
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