Instructions to use DAKARA555/ChestPopDanceMove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/ChestPopDanceMove 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,Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DAKARA555/ChestPopDanceMove") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Wan2.1 I2V Chest Pop Dance Move
- Prompt
- -
Model description
https://civitai.com/models/1535926/wan21-i2v-chest-pop-dance-move?modelVersionId=1737862 https://huggingface.co/DAKARA555/ChestPopDanceMove/resolve/main/chest_pop_e32.safetensors?download=true
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for DAKARA555/ChestPopDanceMove
Base model
Wan-AI/Wan2.1-I2V-14B-480P