ModelsLab/LEOSAM'S HelloWorld XL - HelloWorld XL 5.0 GPT4V

HelloWorld 5.0 is the most substantial update in the history of the HelloWorld series, tagged with GPT-4v, and has undergone significant fine-tuning in fields such as science fiction, animals, architecture, and illustration.

Comparative tests show improvements in this version include:

1. More varied and dynamic character poses and image compositions, creating visually engaging pictures;

2. The film dataset has been extensively trained. While the film texture was weak from versions 2.0 to 4.0, many fans missed the leogirl style of version 1.0. Therefore, this update has specifically strengthened the film texture without compromising other photographic qualities. The film texture can be triggered by phrases such as film grain texture and analog photography aesthetic;

3. Enhanced expressiveness in themes like science fiction, thriller, and animals, with mechas and other subjects having a more designed feel. Animals like the Pallas's cat, snow leopard, red panda, giant panda, tiger, and domestic cats and dogs are more lifelike;

4. Thanks to GPT tagging, prompt adherence and conceptual accuracy have been further improved.

However, the drawbacks of this version include:

1. As this is a substantial fine-tuning update, the error rate for limbs and such may slightly increase, a normal phenomenon when moving out of a comfort zone into new areas of relative optimization. Previous versions underwent extensive limb testing for improvements, while the new version had limited time for such enhancements. Nevertheless, the accuracy of limbs in this version is at least higher than in version 1.0, and I will continue to make improvements in future updates.

2. Due to the reinforced film texture, even though GPT tagging is as accurate as possible, there can be an unavoidable default warm tone in images. However, you can use prompts like studio light or sharp focus to produce high-definition studio-quality images, and with proper use of prompts, the output can have better skin tones and visual appeal than previous versions.

3. This version includes more full-body character images to enhance the full-body effect, so the model may produce wider scenes than before if no specific character composition is directed. Currently, the facial details in 1024 resolution full-body shots might be less sharp compared to half-body or close-up shots. However, this can be improved by using prompts like adetailer and a 1.5x Hires. fix at 0.3 intensity, or by specifying composition to avoid generating full-body images.

4. Since a small number of high-quality illustration datasets have been added, there is a chance that prompts related to animated styles will produce animated images. If this concerns you, please adjust your prompts accordingly.

These are the main updates for this version. Training the SDXL large model is challenging, and when the training set approaches ten thousand images, the cost for tagging and training for each model exceeds 300 USD. I welcome everyone to use the model and appreciate any feedback you can provide! If you find this model satisfactory, I would be immensely grateful if you could help spread the word about it.