LoRAs trained directly on Z-Image-Turbo come out blurry at 8 steps but fine at 30 — the distilled trajectory breaks. How Ostris's zimage_turbo_training_adapter avoids this as training-time-only scaffolding, plus SDXL LoRA incompatibility and Z-Image caption notes.
SeeSee21/Z-Anime is a full fine-tune of Z-Image Base (S3-DiT, 6B) — not a LoRA merge. Ran the AIO build on local ComfyUI (M1 Max 64GB): working t2i and i2i settings for Base vs Distill 8/4-step, GGUF options, and what NSFW prompts actually pass.
A verification log for converting color anime-style AI illustrations to manga-style monochrome. AI re-generation approaches lean to either color leakage or face drift, and pure deterministic local processing looks mechanical. Frames the next directions to try: putting a grayscale-only LoRA on Anima, and using See-through for part decomposition before mechanical composition.
Z-Image has its own pixel art LoRAs, but can they actually convert photos to pixel art via i2i? Tested Z-Image Turbo, base model, and compared with Illustrious on M1 Max 64GB.
A derivative checkpoint of Z-Image Turbo released on ModelScope. It is tuned for skin texture and film-photography-like aesthetics, and can run on an M1 Max with 64GB.
An overview of Z-Image-Distilled, the distilled fast-inference variant of Z-Image, including how it compares with FLUX.1 Schnell, how it runs on an M1 Max 64GB machine, and LoRA compatibility.
Overview of Alibaba’s Z-Image and how it compares to FLUX and Stable Diffusion. A 6B-parameter model that runs on low VRAM and ranks first among open-source models.
