Instructions to use Ching2602/wanmissionsex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/wanmissionsex 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/wanmissionsex") prompt = "viewed from the side, a pov shot, viewed from a high angle, viewed from below" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
wanmissionsex
- Prompt
- viewed from the side, a pov shot, viewed from a high angle, viewed from below
Trigger words
You should use viewed from the side to trigger the image generation.
You should use a pov shot to trigger the image generation.
You should use viewed from a high angle to trigger the image generation.
You should use viewed from below to trigger the image generation.
Download model
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Base model
Wan-AI/Wan2.2-I2V-A14B