VXP_Anima_ScreenCap_Turbo V1 is my latest image-generation model, built on the new Anima architecture and powered by DiT (Diffusion Transformer) technology.
Unlike traditional SDXL models, which rely primarily on a U-Net backbone, DiT models process latent image patches through Transformer blocks. This modern and highly scalable architecture provides stronger global-context awareness, improved prompt interpretation, and better coherence when generating complex scenes.
The model supports both conventional tag-based prompts and detailed natural-language descriptions, allowing you to choose whichever prompting style best suits your workflow.
Its extensive built-in knowledge includes more than 35,000 characters from anime and video games, together with approximately 15,000 recognized artist styles. This makes it possible to reproduce a wide variety of characters and visual styles directly through prompting, often reducing the need for additional LoRAs.
VXP_Anima_ScreenCap_Turbo V1 has also been distilled using Turbo technology. It is optimized to produce high-quality images in as few as 12 sampling steps, significantly reducing generation cost while already operating at PixAI’s minimum generation-cost tier.
You can explore the complete catalogue of characters and artist styles recognized by the model,including example images and their corresponding prompt tags, on : https://animadex.net/
