Instructions to use B4100/outfit-change with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/outfit-change with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/outfit-change") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("B4100/outfit-change")
prompt = "-"
image = pipe(prompt).images[0]outfit-change

- Prompt
- -
Model description
Woman in casual outfit. Quick bouncy jump → hard cut transition into {NEW OUTFIT HERE}. Massive exaggerated breast bounce with slow-motion jiggle on landing.
Download model
Download them in the Files & versions tab.
- Downloads last month
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