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
File size: 448 Bytes
c0551d3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | # 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.
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