Instructions to use profpeng/spooning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/spooning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/spooning") prompt = "The scene changes to show a woman having sex with a man. spn_lie_diagonally_behind_vagina" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/IMG_112353_0.PNG | |
| text: >- | |
| The scene changes to show a woman having sex with a man. | |
| spn_lie_diagonally_behind_vagina | |
| base_model: Wan-AI/Wan2.2-I2V-A14B | |
| instance_prompt: >- | |
| The scene changes to show a woman having sex with a man. | |
| spn_lie_diagonally_behind_vagina | |
| # spooning | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `The scene changes to show a woman having sex with a man. spn_lie_diagonally_behind_vagina` to trigger the image generation. | |
| ## Download model | |
| [Download](/profpeng/spooning/tree/main) them in the Files & versions tab. | |