Instructions to use ostris/wan22_i2v_14b_orbit_shot_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/wan22_i2v_14b_orbit_shot_lora 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/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/wan22_i2v_14b_orbit_shot_lora") prompt = "orbit 180 around an astronaut on the moon. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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## Trigger words
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This LoRA was trained while filming the tutorial, [Train a Wan 2.2 I2V 14B LoRA with AI Toolkit](https://youtu.be/2d6A_l8c_x8).
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Check out that video for more information. It was trained using [Ostris - AI Toolkit](https://github.com/ostris/ai-toolkit)
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## Trigger words
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