Instructions to use pulkitnitk/test0003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pulkitnitk/test0003 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("pulkitnitk/test0003") prompt = "test0003" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8d59660b75e0ba244fe4f89eee034094c38338066a819982e53c3deb430f7b59
- Size of remote file:
- 6.59 MB
- SHA256:
- 291ec1f9f8dc19feb029e386ac3d501dd7ed0aa6c7683f3d8cd0d4bd9381f941
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