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README.md

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 ---
 license: mit
+metrics:
+- mse
+library_name: diffusers
+tags:
+- diffusion
+pipeline_tag: unconditional-image-generation
 ---
+## Anime Face Model Card
+
+DDPMAnimes is a latent noise-to-image diffusion model capable of generating images of Anime girls (no I'm not weird). 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).
+
+![So cute, right?](pipe.png)
+
+### Diffusers
+```py
+from diffusers import DiffusionPipeline
+
+pipeline = DiffusionPipeline.from_pretrained("nroggendorff/anime")
+pipe = pipeline.to("cuda")
+
+image = pipe().images[0]  
+
+image.save("anime_face.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 overweight or otherwise non-traditionally attractive women, as it is sexist.
+
+### 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-anime-face](https://huggingface.co/datasets/huggan/few-shot-anime-face)
+  
+### 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).*