Instructions to use DAKARA555/WanFrontViewDoggyStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/WanFrontViewDoggyStyle 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/WanFrontViewDoggyStyle") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
WanFrontViewDoggyStyle
- Prompt
- -
Model description
https://civitai.com/models/1378353/wan-front-view-doggy-style-i2v?modelVersionId=1605427
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/WanFrontViewDoggyStyle
Base model
Wan-AI/Wan2.1-I2V-14B-480P