Instructions to use ostris/wan21_i2v_dolly_zoom_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/wan21_i2v_dolly_zoom_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/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/wan21_i2v_dolly_zoom_lora") prompt = "dolly zoom" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Wan 2.1 I2V - Dolly Zoom LoRA

- Prompt
- dolly zoom

- Prompt
- dolly zoom

- Prompt
- dolly zoom

- Prompt
- dolly zoom
Model description
This model was trained with AI Toolkit. It was made while making a video tutorial on how to train a LoRA for Wan 2.1 I2V. That tutorial is available here.
Trigger words
You should use dolly zoom to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for ostris/wan21_i2v_dolly_zoom_lora
Base model
Wan-AI/Wan2.1-I2V-14B-480P


