| | --- |
| | license: mit |
| | tags: |
| | - pytorch |
| | - diffusers |
| | - unconditional-image-generation |
| | - diffusion-models-class |
| | --- |
| | |
| | # Model Card for Simple Difussion model using Hugging Face diffusers library |
| |
|
| | This model is a diffusion model for unconditional image generation of cartoon faces using the |
| | [cartoon10k dataset](https://www.kaggle.com/datasets/imreallyjohn/cartoonset10k/data). The code |
| | for this model can be found on [github.](https://github.com/Mau124/Diffusers) |
| |
|
| | The pipeline for this model was created following [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from diffusers import DDPMPipeline |
| | |
| | pipeline = DDPMPipeline.from_pretrained('Mau124/diffusion-model-cartoon10k-96') |
| | image = pipeline().images[0] |
| | image |
| | ``` |
| |
|
| | Results of generating randomly 16 96x96 images: |
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