Update README.md

README.md

@@ -1,3 +1,51 @@
 ---
 license: mit
+metrics:
+- mse
+library_name: diffusers
+tags:
+- diffusion
+pipeline_tag: unconditional-image-generation
 ---
+
+## Nebulae Model Card
+
+DDPMCats is a latent noise-to-image diffusion model capable of generating images of nebulas. 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 DiffusionPipeline
+
+pipeline = DiffusionPipeline.from_pretrained("nroggendorff/nebulae")
+pipe = pipeline.to("cuda")
+
+image = pipe().images[0]  
+
+image.save("nebula.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"
+
+### 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: [Nebulae](https://huggingface.co/datasets/nroggendorff/nebulae)
+
+### 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).*