Instructions to use WarmBloodAban/Anyto3DDonghuaStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WarmBloodAban/Anyto3DDonghuaStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WarmBloodAban/Anyto3DDonghuaStyle") prompt = "transform into 3d style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Any Style to 3D Donghua Style

- Prompt
- transform into 3d style

- Prompt
- transform into 3d style

- Prompt
- transform into 3d style

- Prompt
- transform into 3d style

- Prompt
- transform into 3d style
Model description
This is my workflow creation page, you can click on the link below to experience it directly.
https://www.runninghub.ai/post/2026223216770945026/?inviteCode=sdhs0trb
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LoRA Description: This LoRA is fine-tuned on Qwen2-VL-7B-Instruct (Image Edit), utilizing a high-quality dataset of 89 curated HD pairs of 3D Donghua (Chinese Animation) styles.
It excels at converting various input styles—ranging from realistic photos to 2D illustrations—into a high-fidelity 3D aesthetic characterized by vibrant lighting and intricate textures.
Trigger Word: transform into 3d style
Recommended Strength: 0.8 - 1.0
Key Features: One-click stylization, high-definition output, and excellent composition retention.
Trigger words
You should use transform into 3d style to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for WarmBloodAban/Anyto3DDonghuaStyle
Base model
Qwen/Qwen-Image-Edit-2511