Add model card

README.md

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 ---
+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 [Textual Inversion](https://github.com/rinongal/textual_inversion).
+
+## Model Description
+
+The model originally used for fine-tuning is [Stable Diffusion V1-4](https://huggingface.co/CompVis/stable-diffusion-v1-4), which is a latent image diffusion model trained on [LAION2B-en](https://huggingface.co/datasets/laion/laion2B-en).
+
+The current model is based from [Yasu Seno](https://twitter.com/naclbbr)'s [TrinArt Stable Diffusion](https://huggingface.co/naclbit/trinart_stable_diffusion) which has been fine-tuned on 30,000 high-resolution manga/anime-style images for 3.5 epochs.
+
+With [Textual Inversion](https://github.com/rinongal/textual_inversion), the embeddings for the text encoder has been trained to align more with anime-styled images, reducing excessive prompting.
+
+## Training Data & Annotative Prompting
+
+The data used for Textual Inversion has come from a random sample of 25k Danbooru images, which were then filtered based on [CLIP Aesthetic Scoring](https://github.com/christophschuhmann/improved-aesthetic-predictor) where only images with an aesthetic score greater than `6.0` were used.
+
+Then, the embeddings were further tuned on a smaller subset of 2k higher quality aesthetic images which had an aesthetic score greater than `6.0` and featured diverse subjects, backgrounds, and compositions.
+
+## 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, use_auth_token=True)
+pipe = pipe.to(device)
+
+prompt = "a photo of reimu hakurei. anime style"
+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](https://ommer-lab.com/) and the author of the original finetuned model that this work was based upon, [Yasu Seno](https://twitter.com/naclbbr)!
+
+Additionally, the methods presented in the [Textual Inversion](https://github.com/rinongal/textual_inversion) repo was an incredible help.
+
+- [Anthony Mercurio](https://github.com/harubaru)
+- [Salt](https://github.com/sALTaccount/)