lowres, bad anatomy, bad faces, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry,
Models downloaed from [TechnoByte/nai-furry-anime-safetensors · Hugging Face](https://huggingface.co/TechnoByte/nai-furry-anime-safetensors)
[NovelAI Diffusion V1 Weights Release (EN)](https://blog.novelai.net/novelai-diffusion-v1-weights-release-en-e40d11e16bd5)
As the field of image generation progresses, we have decided to release the weights of our first generation image generation models to the public, for the purposes of research, personal use and historical preservation. Of course, they will also remain available for use on our website, but now users who want to play with them locally can freely download and use these models.
The specific models we are releasing are:
[NovelAI Diffusion Anime V1 (Curated)](https://huggingface.co/NovelAI/nai-anime-v1-curated)
[NovelAI Diffusion Anime V1 (Full)](https://huggingface.co/NovelAI/nai-anime-v1-full)
[NovelAI Diffusion Furry (Beta V1.3)](https://huggingface.co/NovelAI/nai-furry-beta-v1.3)
The "curated" anime model was trained on a smaller, higher quality set of images, has better knowledge of pop culture and higher image quality. The "full" anime model was trained on a more comprehensive set of images, making it more flexible. Finally, we are also releasing the weights of our old furry model.
While we are taking a trip down the memory lane, here are some of our relevant blog posts from back in the day, when we had just released these models on our website:
[NovelAI Diffusion Image Generation Announcement Blog Post](https://novelai.medium.com/image-generation-announcement-807b3cf0afec)
[NovelAI Improvements on Stable Diffusion](https://blog.novelai.net/novelai-improvements-on-stable-diffusion-e10d38db82ac)
[The Magic behind NovelAIDiffusion](https://blog.novelai.net/the-magic-behind-novelaidiffusion-b4797e0d27b2)
[NovelAI Aspect Ratio Bucketing Source Code Release (MIT Licensed)](https://blog.novelai.net/novelai-aspect-ratio-bucketing-source-code-release-mit-licensed-c33fdd25e4ad)
As written in the second of those blog articles, our models were trained using the output of the penultimate layer of the CLIP text encoder, so when using these models, make sure to set your image generation UI to use the second to last CLIP layer rather than the last one.
The models are released under a dual license, with both terms of the original CreativeML Open RAIL-M license and the Creative Commons BY-NC-SA 4.0 license applying to them. This allows non-commercial: use, redistribution and the creation of derivative works, as long as they are attributed properly and distributed under the same terms.
Of course, these models are all a bit dated, so if you just want to have fun with a state of the art anime or furry image generation model, make sure to check out NovelAI V3 on [our website](https://novelai.net/) and stay tuned for future updates!
To reiterate, the weight release is only applicable to the earliest iterations of our NovelAI Diffusion models dating back to October (Anime Diffusion Curated / Full) and November (Furry Diffusion V1.3) 2022
