Instructions to use Cseti/Wan-LoRA-Arcane-Jinx-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cseti/Wan-LoRA-Arcane-Jinx-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Cseti/Wan-LoRA-Arcane-Jinx-v2") prompt = "csetiarcane. Nfj1nx lounges on a hammock strung between two trees, her long blue hair spilling around her like a waterfall. She’s dressed in a simple, comfy summer dress, her bare feet propped up against the hammock’s edge. She looks at the camera with a sweet, relaxed smile, one hand resting behind her head as the other holds a cold drink with a small umbrella. The surrounding garden is lush with greenery, and the light creates a warm, inviting glow around her, enhancing the casual and carefree atmosphere" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Training dataset
#1 opened about 1 year ago
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