Instructions to use Hemanth-thunder/stable_diffusion_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemanth-thunder/stable_diffusion_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hemanth-thunder/stable_diffusion_lora", dtype=torch.bfloat16, device_map="cuda") prompt = "hmat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download autotrain-advanced/docs/source/support.mdx from Hemanth-thunder/stable_diffusion_lora: direct link, hf CLI and curl.
- Browser
- Download file 448 Bytes
-
https://huggingface.co/Hemanth-thunder/stable_diffusion_lora/resolve/main/autotrain-advanced/docs/source/support.mdx
- Command line
-
hf download hf://Hemanth-thunder/stable_diffusion_lora/autotrain-advanced/docs/source/support.mdx
-
curl -L -o support.mdx https://huggingface.co/Hemanth-thunder/stable_diffusion_lora/resolve/main/autotrain-advanced/docs/source/support.mdx
448 Bytes
| # Help and Support | |
| To get help and support for autotrain, there are 3 ways: | |
| - [Create an issue](https://github.com/huggingface/autotrain-advanced/issues/new) in AutoTrain Advanced GitHub repository. | |
| - [Ask in the Hugging Face Forum](https://discuss.huggingface.co/c/autotrain/16). | |
| - [Email us](mailto:autotrain@hf.co) directly. | |
| Please don't forget to mention your username and project name if you have a specific question about your project. | |