import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("NovelAI/nai-anime-v1-curated", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]NovelAI Diffusion Anime V1 (Curated)
This is our oldest anime model, trained on a curated dataset. We are now making the weights publicly available for research and personal use. To keep the release compact, it only contains the Unet and VAE components. If you require the other components, you can copy them into the folder from the original Stable Diffusion 1.4 release.
The model was trained using the text embeddings produced by CLIP's penultimate layer, so, depending on your inference software, you will need to set "CLIP skip" to 2.
References:
- Announcement blog post
- NovelAI Improvements on Stable Diffusion
- The Magic behind NovelAIDiffusion
- NovelAI Aspect Ratio Bucketing Source Code Release (MIT Licensed)
You can always check out our latest models on the NovelAI website or take a gander at our blog.
License
This model is based upon Stable Diffusion 1.4. It is distributed under the terms of the CreativeML Open RAIL-M and the terms of the CC BY-NC-SA 4.0 license. This means that the terms of both licenses apply at the same time.
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