Stable_ Diffusion_ Microscopic_model

Introduction

The Stable Diffusion Microscopic Model is a fine-tuned version of the Stable Diffusion 1.5 model, specifically trained on microscopic images. It allows users to generate images with a microscopic theme by using relevant prompts.

Architecture

The model utilizes the StableDiffusionPipeline from the Diffusers library. It is compatible with various formats and can be exported to ONNX, MPS, and FLAX/JAX for optimization purposes.

Training

This model has been fine-tuned using a dataset of microscopic images, which helps it generate highly detailed and specialized outputs in response to prompts related to microscopic subjects.

Guide: Running Locally

To run the model locally, follow these steps:

1. Install Dependencies: Ensure you have the Diffusers library and PyTorch installed.
2. Load the Model: Use the following Python code to load and run the model:

   from diffusers import StableDiffusionPipeline
   import torch
   
   model_id = "Fictiverse/Stable_Diffusion_Microscopic_model"
   pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
   pipe = pipe.to("cuda")
   
   prompt = "microscopic creature"
   image = pipe(prompt).images[0]
   
   image.save("./microscopic.png")
   

3. Run on GPU: For optimal performance, it is recommended to run the model on a cloud GPU service like AWS, Google Cloud, or Azure.

License

The model is released under the OpenRAIL license, which allows for both personal and commercial use, subject to certain conditions.