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
File size: 674 Bytes
59d93e7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ---
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.
|