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
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Download README.md from ostris/wan22_i2v_14b_orbit_shot_lora: direct link, hf CLI and curl.
- Browser
- Download file 764 Bytes
-
https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/README.md
- Command line
-
hf download hf://ostris/wan22_i2v_14b_orbit_shot_lora/README.md
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curl -L -o README.md https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/README.md
764 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ComfyUI_00787_.webp
text: 'orbit 180 around an astronaut on the moon. '
base_model: Wan-AI/Wan2.2-I2V-A14B
instance_prompt: orbit 360
license: apache-2.0
Wan 2.2 I2V 14B Orbital Shot LoRA

- Prompt
- orbit 180 around an astronaut on the moon.
This LoRA was trained while filming the tutorial, Train a Wan 2.2 I2V 14B LoRA with AI Toolkit. Check out that video for more information. It was trained using Ostris - AI Toolkit
Trigger words
You should use orbit 360 to trigger the image generation.
Download model
Download them in the Files & versions tab.