readme: ---
  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/).