readme: ---
  license: openrail
  tags:
    - text-to-image
  ---
  # Microscopic model V1
  This is the fine-tuned Stable Diffusion model trained on microscopic images.
  
  Use **Microscopic** in your prompts.
  
  ### Sample images:
  ![sample image](https://s3.amazonaws.com/moonup/production/uploads/1667894926121-635749860725c2f190a76e88.jpeg)
  ![sample image](https://s3.amazonaws.com/moonup/production/uploads/1667934752243-635749860725c2f190a76e88.png)
  
  Image enhancing : Before/After
  ![sample gif](https://s3.amazonaws.com/moonup/production/uploads/1667935562197-635749860725c2f190a76e88.gif)
  Based on StableDiffusion 1.5 model
  
  ### 🧨 Diffusers
  
  This model can be used just like any other Stable Diffusion model. For more information,
  please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
  
  You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
  
  ```python
  from diffusers import StableDiffusionPipeline
  import torch
  
  model_id = "Fictiverse/Stable_Diffusion_PaperCut_Model"
  pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
  pipe = pipe.to("cuda")
  
  prompt = "PaperCut R2-D2"
  image = pipe(prompt).images[0]
  
  image.save("./R2-D2.png")
  ```