Instructions to use Cseti/Wan-LoRA-Arcane-Jinx-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cseti/Wan-LoRA-Arcane-Jinx-v1 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-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Cseti/Wan-LoRA-Arcane-Jinx-v1") prompt = "csetiarcane A medium shot frames a J1nx in neon-washed leather, her silhouette sharp against flickering signs. Her long blue hair catches blue light as she moves sideways through the frame. Her mesh top gleams beneath a studded jacket. Behind her, steam rises from street vents into the rainy night." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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