sd naruto diffusers

Introduction

The SD-Naruto-Diffusers model by Lambda Labs is a fine-tuned version of Stable Diffusion designed to generate images in the style of Naruto. It leverages text-to-image capabilities to transform various prompts into Naruto-style artwork.

Architecture

This model utilizes the Stable Diffusion pipeline, which is part of the Diffusers library. It has been fine-tuned specifically for creating images with Naruto-like characteristics, using a unique dataset for training.

Training

The model was trained on BLIP-captioned Naruto images using two A6000 GPUs on the Lambda GPU Cloud. The training process involved approximately 30,000 steps over 12 hours, incurring a cost of around $20.

Guide: Running Locally

To run the model locally, follow these steps:

1. Install Dependencies:

   !pip install diffusers==0.3.0
   !pip install transformers scipy ftfy
   

2. Initialize the Model:

   import torch
   from diffusers import StableDiffusionPipeline
   from torch import autocast
   
   pipe = StableDiffusionPipeline.from_pretrained("lambdalabs/sd-naruto-diffusers", torch_dtype=torch.float16)  
   pipe = pipe.to("cuda")
   

3. Generate Images:

   prompt = "Yoda"
   scale = 10
   n_samples = 4
   
   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")
   

4. Cloud GPUs: Consider using cloud services like Lambda GPU Cloud for efficient processing.

License

The licensing information for the SD-Naruto-Diffusers model is not specified in the provided document. Please refer to the respective repositories or contact Lambda Labs for detailed licensing terms.