Instructions to use nnndite/animate_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nnndite/animate_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("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nnndite/animate_v1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 543 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ComfyUI_temp_crkor_00009_.png
text: '-'
- output:
url: images/ComfyUI_temp_crkor_00009_.png
text: '-'
base_model: Phr00t/Qwen-Image-Edit-Rapid-AIO
instance_prompt: 2d
license: cc-by-2.0
---
# qwen-edit
<Gallery />
## Model description
2d复古日漫风格
## Trigger words
You should use `2d` to trigger the image generation.
## Download model
[Download](/nnndite/animate_v1/tree/main) them in the Files & versions tab.
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