Beta_XL
Trained on 2k Images, 38k Steps




















Pixeljourney, isn't an all-encompassing model that excels at everything.
It struggles somewhat with accurately following prompts and tends to be somewhat inflexible.
However, it uniquely directs outputs into a stylistic direction inspired by various AI artists and the Midjourney style.
Capabilities of Pixeljourney:
Excels at: Semi-realistic motifs, portraits, aliens, creatures, cyborgs, artistic themes, weird fashion, fusions between humans & different creatures, creative motifs.
Adequate at: Photorealism.
Struggles with: Anime, low-resolution monochrome sketches.
Technical Aspects:
Sampler for Examples: I used dpmpp_3m_sde/karras and a (cfg) range of 5-7.
How to Use Pixeljourney:
Start with SDXL resolution Sampler at 30+ steps.
Apply HiRes-Fix or NNLatentUpscale.
Proceed with UpscaleSampler for 20 steps and Denoise around 0.04.
Optionally, use SDXL Refiner for around 8 steps with Denoise at 0.2.
Optionally, apply a Face Detailer for enhanced facial details (not needed for Portrait shots).
Dataset Composition:
The dataset includes 1500 images from the LinkedIn AI/CC Community, mainly created using Midjourney.
Additionally, 500 high-resolution photos were added to enhance details like eyes and skin.
Training Details:
The model was trained with 38,000 steps and a batch size of 4 using a 48GB RTX 6000 Ada for approximately 25 hours.

NSFW:
Pixeljourney is an uncensored model, capable of creating ???? content.
However, it has not been specifically trained for such content and don't preform verry well at it.
Finetuned with ashleykza's kohya_ss template @ runpod

Beta_XL
Trained on 2k Images, 38k Steps
1. 轉载模型僅供學習與交流分享,其版權及最終解释權归原作者。
2. 模型原作者如需認領模型,請通過官方渠道联系海藝AI工作人員進行認證。我們致力於保護每一位創作者的權益。 點擊去認領
