redo readme

README.md

@@ -20,13 +20,11 @@ waifu-diffusion is a latent text-to-image diffusion model that has been conditio
 
 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.
+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 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.
+The data used for Textual Inversion has come from a random sample of 56k Danbooru images, which were 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.
 
 Captions are Danbooru-style captions.
 
@@ -45,10 +43,10 @@ model_id = "hakurei/waifu-diffusion"
 device = "cuda"
 
 
-pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision='fp16')
 pipe = pipe.to(device)
 
-prompt = "a photo of reimu hakurei. anime style"
+prompt = "touhou hakurei_reimu 1girl solo portrait"
 with autocast("cuda"):
     image = pipe(prompt, guidance_scale=7.5)["sample"][0]  
     
@@ -57,9 +55,7 @@ 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.
+This project would not have been possible without the incredible work by the [CompVis Researchers](https://ommer-lab.com/).
 
 - [Anthony Mercurio](https://github.com/harubaru)
 - [Salt](https://github.com/sALTaccount/)