Instructions to use yngpaun/g1nger666 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yngpaun/g1nger666 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yngpaun/g1nger666") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/WIdSrpwTyErG3J3sY-1BW_3d4b5a6a62244ad98974b560d0695eaa.png
text: '-'
base_model: ostris/wan22_i2v_14b_orbit_shot_lora
instance_prompt: g1nger666
g1nger666

- Prompt
- -
Trigger words
You should use g1nger666 to trigger the image generation.
Download model
Download them in the Files & versions tab.