Image-to-Video
Diffusers
Safetensors
English
text-to-video
lora
video-generation
wan
wan2.1
diffusion-pipe
musubi-tuner
identity
Instructions to use fwwrsd/ohwx-wan-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fwwrsd/ohwx-wan-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-720P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fwwrsd/ohwx-wan-lora") prompt = "ohwx" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload LoRA weights
Browse files- lora.safetensors +3 -0
lora.safetensors
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