Create README.md

README.md

@@ -0,0 +1,71 @@
+---
+language: 
+  - en
+thumbnail: "https://s3.amazonaws.com/moonup/production/uploads/1663756797814-62bd5f951e22ec84279820e8.png"
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+datasets:
+- lambdalabs/pokemon-blip-captions
+---
+
+__Stable Diffusion fine tuned on Pokémon by [Lambda Labs](https://lambdalabs.com/).__
+
+Put in a text prompt and generate your own Pokémon character, no "prompt engineering" required!
+
+If you want to find out how to train your own Stable Diffusion variants, see this [example](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning) from Lambda Labs.
+
+
+![image.png](https://s3.amazonaws.com/moonup/production/uploads/1663756797814-62bd5f951e22ec84279820e8.png)
+
+> Girl with a pearl earring, Cute Obama creature, Donald Trump, Boris Johnson, Totoro, Hello Kitty
+
+## Usage
+
+```bash
+!pip install diffusers==0.3.0
+!pip install transformers scipy ftfy
+```
+
+```python
+import torch
+from diffusers import StableDiffusionPipeline
+from torch import autocast
+
+pipe = StableDiffusionPipeline.from_pretrained("lambdalabs/sd-pokemon-diffusers", torch_dtype=torch.float16)  
+pipe = pipe.to("cuda")
+
+prompt = "Yoda"
+scale = 10
+n_samples = 4
+
+# Sometimes the nsfw checker is confused by the Pokémon images, you can disable
+# it at your own risk here
+disable_safety = False
+
+if disable_safety:
+  def null_safety(images, **kwargs):
+      return images, False
+  pipe.safety_checker = null_safety
+
+with autocast("cuda"):
+  images = pipe(n_samples*[prompt], guidance_scale=scale).images
+
+for idx, im in enumerate(images):
+  im.save(f"{idx:06}.png")
+```
+
+## Model description
+
+Trained on [BLIP captioned Pokémon images](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions) using 2xA6000 GPUs on [Lambda GPU Cloud](https://lambdalabs.com/service/gpu-cloud) for around 15,000 step (about 6 hours, at a cost of about $10).
+
+## Links
+
+- [Lambda Diffusers](https://github.com/LambdaLabsML/lambda-diffusers)
+- [Captioned Pokémon dataset](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)
+- [Model weights in Diffusers format](https://huggingface.co/lambdalabs/sd-pokemon-diffusers)
+- [Original model weights](https://huggingface.co/justinpinkney/pokemon-stable-diffusion)
+- [Training code](https://github.com/justinpinkney/stable-diffusion)
+
+Trained by [Justin Pinkney](justinpinkney.com) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda Labs](https://lambdalabs.com/).