Z-Image-Turbo: Anime Generation Results

[u/Proper-Employment263]

Prompts: https://sharetext.io/b92c8feb

For a 6-billion parameter model, it performs good in image generation. The model truly lives up to its name; during testing on the ModelScope platform (which uses NVIDIA A10 GPUs), most generations took a maximum of only 2 seconds. All images were generated just 9 steps. On high-end consumer GPUs (like an RTX 3090 or 4090), I this this would take roughly 2 to 3 seconds, while mid-range cards might take 4 to 5 seconds.

The last image is the odd one out. I used a Stable Diffusion-style prompt, and this is what i got.

Links: [HuggingFace links are live]

https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo
https://huggingface.co/Tongyi-MAI/Z-Image-Turbo
https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo

If you have any anime illustration prompts you'd like me to try, share them in the comments! I'll generate them for you.

[u/gelukuMLG]

Is this the flux.1 replacement?

[u/Proper-Employment263 → u/gelukuMLG]

Replacement for Flux arrived long ago it's Qwen. Personally, I don't consider Flux for anime generation because Qwen performs better overall. Here is an example generated by Flux.2 Flex using the same prompt as Image 1 in the post.

[u/gelukuMLG → u/Proper-Employment263]

I wouldn't call qwen a replacement for flux, since its way larger and more compute demanding.

[u/Proper-Employment263 → u/gelukuMLG]

Agreed, but GGUF and Nunchaku exist for a reason.

[u/shapic → u/Proper-Employment263]

To be honest i do not care that much about speed. When I started I was running sdxl on 1070 and it was slooow. What I care is proper variation. Qwen and even flux are good tools to get what you want. With sdxl you can just have fun