PixArt-Sigma-1024px_512px-animetune

Training Data (8.47 KB):comfyui workflow● I trained with a dataset of 400,000 images.It’s still in the early stages, but it’s learning concepts almost as well as the 1024px model. The anatomy also seems better than the 1024px model, although fingers are still challenging. Overall, I think it’s easier to work with than the 1024px model.Since it’s already useful for prompt testing and other purposes, I’ve released it. Please note that it’s still a prototype and has been updated roughly.The 1024px model might ultimately provide superior inference, but reaching that point involves many failures and takes too much time. Continuously generating 1024px images without knowing the outcome is frustrating. This model is designed to support that process.This model has several potential uses:● Since it has fast inference speed and tag compatibility, it can be used for prompt testing before running inference on a 1024px model.● Use the 512px model to create a good composition, then upscale with the 1024px model.● Merge the 512px model with the 1024px model to generate around 768px, balancing speed and detail. (Practicality is uncertain, as it may not work reliably.)I’ve also uploaded a few workflows for reference.The standard size for this model is 512pxA ratio like 512x768 like SD1.5 is suitable.However, with a long side of 768px, it slightly breaks down. If stability is important, it’s better to base it on 512x512px and adjust the aspect ratio, such as 448x576.768px 1024px is not trained, so the result will be disastrous.The base model is very high quality even at 512px!Usually, models in the middle of pre-training or lite versions lack sufficient learning or aesthetic appeal, but this base model is different. It is the most aesthetically pleasing I have seen so far.Honestly, for creating images focused on 2D characters, there’s little difference between 512px and 1024px. Unless it’s a concept that clearly requires high resolution, 512px should be sufficient.Some tags may still be unresponsive with the 512px model but I believe this will be resolved as training progresses.

pixartSigma1024px_512pxV01.safetensors

pixartSigma1024px_512pxV01_trainingData.zip

512px_v0.1

1024px_v04

512px_0.7

512px_0.6

512px_v0.5

512px_v0.4

512px_v0.3

512px_v0.2

1024px_v0.31

1024px_v0.2

1024px_v0.1

1024px_v0.0

512px_v0.0

Files with SHA256: cb6cda1a505c2832e73a3a4f4f6271e739eacf9c386c6c36e080fb847aaffcee