Instructions to use Senetor/Simpson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Senetor/Simpson with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Senetor/Simpson") prompt = "Simpson Style portrait" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: Simpson Style portrait | |
| output: | |
| url: images/1.jpeg | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: ohwx man | |
| license: mit | |
| # Simpson | |
| <Gallery /> | |
| ## Model description | |
| Simpson | |
| ## Trigger words | |
| You should use `ohwx man` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Senetor/Simpson/tree/main) them in the Files & versions tab. | |