Instructions to use Ching2602/spooningv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/spooningv2 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("Ching2602/spooningv2") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 473 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Screenshot 2026-03-08 at 3.56.18 PM.png
text: '-'
base_model: Wan-AI/Wan2.2-I2V-A14B
instance_prompt: null
---
# spooningv2
<Gallery />
## Model description
The man's penis is going in and out of her vagina. Her body trembles as he moves his hips.
## Download model
[Download](/profpeng/spooningv2/tree/main) them in the Files & versions tab.
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