Instructions to use Matelefy/hj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matelefy/hj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("redflagcitymayor/wan2.2-i2v-missionary-high-14b-lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Matelefy/hj") prompt = "A woman is performing a handjob on a penis, she moves her hand quickly up and down in a rhythmic motion." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 466 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/videoframe_1156.png
text: >-
A woman is performing a handjob on a penis, she moves her hand quickly up
and down in a rhythmic motion.
base_model: redflagcitymayor/wan2.2-i2v-missionary-high-14b-lora
instance_prompt: null
license: mit
---
# handj
<Gallery />
## Download model
[Download](/Matelefy/hj/tree/main) them in the Files & versions tab.
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