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README.md

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 ---
 license: mit
+metrics:
+- mse
+library_name: diffusers
+tags:
+- diffusion
+pipeline_tag: text-to-image
 datasets:
 - nroggendorff/zelda
-pipeline_tag: text-to-image
----
+language:
+- en
+---
+## Zelda Diffusion Model Card
+
+SDZelda is a latent text-to-image diffusion model capable of generating images of Zelda from The Legend of Zelda. 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 cool, right?](pipe.png)
+
+### Diffusers
+```py
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipeline = StableDiffusionPipeline.from_pretrained("nroggendorff/zelda-diffusion", torch_dtype=torch.float16, use_safetensors=True).to("cuda")
+
+image = pipeline(prompt="a drawing of a woman in a blue dress and gold crown").images[0]
+image.save("zelda.png")
+```
+
+### Model Details
+- `train_batch_size`: 1
+- `gradient_accumulation_steps`: 4
+- `learning_rate`: 1e-2
+- `lr_warmup_steps`: 500
+- `mixed_precision`: "fp16"
+- `eval_metric`: "mean_squared_error"
+
+### Limitations
+
+- The model does not achieve perfect photorealism
+- The model cannot render legible text
+- The model was trained on a small-scale dataset: [nroggendorff/zelda](https://huggingface.co/datasets/nroggendorff/zelda)
+  
+### 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).*