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CyberRealistic-Z-Image-Turbo-v4-mflux-4bit
avlp12/CyberRealistic-Z-Image-Turbo-v4-mflux-4bit
CyberRealistic-Z-Image-Turbo-v4-mflux-4bit is a text-to-image model from avlp12. Use it when you need an image from a text prompt. It is set up for mlx. The card lists the license as creativeml-openrail-m.
Part of the CyberRealistic Z-Image-Turbo v4 · mflux collection.
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At a glance
- Task
- Text-to-Image
- Library
- mlx
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Jul 3, 2026
- Updated
- Jul 14, 2026
- SHA
- 4b9ff68c
Base models
Model card
From the Hugging Face model README
CyberRealistic Z-Image Turbo v4.0 — MLX (4bit)
Part of the CyberRealistic Z-Image-Turbo v4 · mflux collection.
CyberRealistic Z-Image Turbo by Cyberdelia (v4.0, from the creator's own HF mirror), converted from the ComfyUI single-file checkpoint to the mflux layout and quantized to 4bit for Apple-silicon Macs. Text encoder (Qwen3-4B), VAE, and tokenizer come from the base Tongyi-MAI/Z-Image-Turbo (Apache-2.0).
A photorealism-focused finetune of Z-Image-Turbo: ~9 steps, no CFG, multilingual prompts (Korean included). The 4-bit build runs on a 16 GB Mac.
from mflux.models.z_image.variants import ZImageTurbo
m = ZImageTurbo(model_path="avlp12/CyberRealistic-Z-Image-Turbo-v4-mflux-4bit")
m.generate_image(seed=7, prompt="candid photo of ...", num_inference_steps=9).save(path="out.png")
Used as a built-in model in Alis Studio. License: CreativeML OpenRAIL-M (inherited from the finetune; see the use restrictions). Credit: Cyberdelia (finetune), Tongyi-MAI (base model), mflux (MLX runtime).
- Task
- Text-to-Image
- Library
- mlx
- License
- creativeml-openrail-m
- Created
- Jul 3, 2026
- Updated
- Jul 14, 2026