Instructions to use Shero448/stuck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/stuck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/stuck") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/Sin título.png | |
| text: '-' | |
| base_model: Liberata/illustrious-xl-v1.0 | |
| instance_prompt: through wall | |
| # wall | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `through wall` to trigger the image generation. | |
| ## Download model | |
| [Download](/Shero448/stuck/tree/main) them in the Files & versions tab. | |