Instructions to use eraRelentless/BBCRide-Wan-2.2-I2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eraRelentless/BBCRide-Wan-2.2-I2V with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FlutterGuyAzaza/Hip_sway_Ass_shaking_dance_Wan_2.2_I2V", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("eraRelentless/BBCRide-Wan-2.2-I2V") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 355
Model tree for eraRelentless/BBCRide-Wan-2.2-I2V
Base model
zai-org/GLM-Image