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:
- d3eff3fce86160e6c3d7f56a1a06a9c16eb583335bf33c54313d40f08be6a758
- Size of remote file:
- 6.59 MB
- SHA256:
- bc3a8d23e408708de21052090f1621f28259fac0b17e91a382ba9c0a8ca1506e
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