| --- |
| tags: |
| - text-to-image |
| - stable-diffusion |
| - lora |
| - diffusers |
| language: |
| - en |
| library_name: diffusers |
| pipeline_tag: text-to-image |
| base_model: stabilityai/stable-diffusion-2-base |
| instance_prompt: "Mobile app:" |
| --- |
| |
| # UI-Diffuser-V2 |
| UI-Diffuser-V2 is fine tuned from "stabilityai/stable-diffusion-2-base" with the [SCapRepo dataset](https://paperswithcode.com/dataset/gpscap) for mobile UI generation. |
|
|
| A demo using diffusion model and large language model for UI generation is available at https://github.com/Jl-wei/ai-gen-ui |
|
|
|
|
| ## Using with Diffusers |
| ```python |
| import torch |
| from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler |
| |
| model_id = "stabilityai/stable-diffusion-2-base" |
| scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler") |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16) |
| |
| lora_path = "Jl-wei/ui-diffuser-v2" |
| pipe.load_lora_weights(lora_path) |
| pipe.to("cuda") |
| |
| prompt = "Mobile app: health monitoring report" |
| images = pipe(prompt, num_inference_steps=30, guidance_scale=7.5, height=512, width=288, num_images_per_prompt=10).images |
| |
| columns = 5 |
| fig = plt.figure(figsize=(20,10)) |
| for i, image in enumerate(images): |
| plt.subplot(int(len(images) / columns), columns, i + 1) |
| plt.imshow(image) |
| for ax in fig.axes: |
| ax.axis("off") |
| ``` |
|
|
| ## Citation |
| If you find our work useful, please cite our paper: |
| ```bibtex |
| @article{wei2024aiinspired, |
| author={Wei, Jialiang and Courbis, Anne-Lise and Lambolais, Thomas and Dray, Gérard and Maalej, Walid}, |
| journal={IEEE Software}, |
| title={On AI-Inspired User Interface Design}, |
| year={2025}, |
| volume={42}, |
| number={3}, |
| pages={50-58}, |
| doi={10.1109/MS.2025.3536838} |
| } |
| |
| ``` |
| Please note that the code and model can only be used for academic purpose. |
|
|
| ### UI-Diffuser-V1 |
| This model, UI-Diffuser-V2, represents the second version of the UI-Diffuser model. |
|
|
| The initial version, UI-Diffuser-V1, was introduced in our paper titled [Boosting GUI Prototyping with Diffusion Models](https://ieeexplore.ieee.org/abstract/document/10260853) |
