waifu-diffusion / README.md
Reimu Hakurei
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metadata
language:
  - en
tags:
  - stable-diffusion
  - text-to-image
license: bigscience-bloom-rail-1.0
inference: false

waifu-diffusion - Diffusion for Weebs

waifu-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning.

Prompt: touhou 1girl komeiji_koishi portrait

Model Description

The model originally used for fine-tuning is Stable Diffusion V1-4, which is a latent image diffusion model trained on LAION2B-en.

The current model has been fine-tuned with a learning rate of 5.0e-5 for 1 epoch on 56k Danbooru text-image pairs which all have an aesthetic rating greater than 6.0.

Training Data & Annotative Prompting

The data used for fine-tuning has come from a random sample of 56k Danbooru images, which were filtered based on CLIP Aesthetic Scoring where only images with an aesthetic score greater than 6.0 were used.

Captions are Danbooru-style captions.

Downstream Uses

This model can be used for entertainment purposes and as a generative art assistant.

Example Code

import torch
from torch import autocast
from diffusers import StableDiffusionPipeline

model_id = "hakurei/waifu-diffusion"
device = "cuda"


pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision='fp16')
pipe = pipe.to(device)

prompt = "touhou hakurei_reimu 1girl solo portrait"
with autocast("cuda"):
    image = pipe(prompt, guidance_scale=7.5)["sample"][0]  
    
image.save("reimu_hakurei.png")

Team Members and Acknowledgements

This project would not have been possible without the incredible work by the CompVis Researchers.

In order to reach us, you can join our Discord server.

Discord Server