Instructions to use DAKARA555/BouncyForwardBends with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/BouncyForwardBends 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/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DAKARA555/BouncyForwardBends") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Bouncy Forward Bends
- Prompt
- -
Model description
https://civitai.com/models/1433071/bouncy-forward-bends-wan-i2v-14b
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 3
Model tree for DAKARA555/BouncyForwardBends
Base model
Wan-AI/Wan2.1-I2V-14B-480P