| | --- |
| | license: mit |
| | metrics: |
| | - mse |
| | library_name: diffusers |
| | tags: |
| | - diffusion |
| | pipeline_tag: unconditional-image-generation |
| | --- |
| | ## Cu~~rsed~~te kitty cats Model Card |
| |
|
| | DDPMCats is a latent noise-to-image diffusion model capable of generating images of cats. For more information about how Stable Diffusion functions, please have a look at 🤗's [Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion). |
| |
|
| | You can use this with the 🧨Diffusers library from [Hugging Face](https://huggingface.co). |
| |
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| |  |
| |
|
| | ### Diffusers |
| | ```py |
| | from diffusers import DiffusionPipeline |
| | |
| | pipeline = DiffusionPipeline.from_pretrained("nroggendorff/cats") |
| | pipe = pipeline.to("cuda") |
| | |
| | image = pipe().images[0] |
| | |
| | image.save("cat.png") |
| | ``` |
| |
|
| |
|
| | ### Model Details |
| | - `train_batch_size`: 16 |
| | - `eval_batch_size`: 16 |
| | - `num_epochs`: 50 |
| | - `gradient_accumulation_steps`: 1 |
| | - `learning_rate`: 1e-4 |
| | - `lr_warmup_steps`: 500 |
| | - `mixed_precision`: "fp16" |
| | - `eval_metric`: "mean_squared_error" |
| |
|
| | ### Bias |
| | - This model may exhibit biases due to its training data. It will not display images of abused or sick cats, as it prioritizes the well-being of animals. |
| |
|
| | ### Limitations |
| |
|
| | - The model does not achieve perfect photorealism |
| | - The model cannot render legible text |
| | - The model was trained on a medium-to-large-scale dataset: [huggan/few-shot-cat](https://huggingface.co/datasets/huggan/few-shot-cat) |
| | |
| | ### Developed by |
| | - Noa Linden Roggendorff |
| |
|
| | *This model card was written by Noa Roggendorff and is based on the [Stable Diffusion v1-5 Model Card](https://huggingface.co/runwayml/stable-diffusion-v1-5).* |
