<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/34925661-e0c6-4c63-8180-d6a920efcf94/original=true/34925661-e0c6-4c63-8180-d6a920efcf94.jpeg" />You can get this model through Civitai Early Access, or grab it along with many others by joining The Tinkerer on Whop. Membership gets you early releases, private tools and members-only pages. There are free pages too, no membership needed.👉 <a target="_blank" rel="ugc" href="https://whop.com/cyberdelia-ai-lab">Join on Whop</a> 💬 <a target="_blank" rel="ugc" href="https://discord.gg/88R2hdjb22">Join the community for support, free tools and early news on Discord</a><hr />CyberRealistic Z-Image Turbo is a build based on the original Z-Image Turbo. It follows the original Z-Image Turbo settings and philosophy, with minimal intervention, exploring how well this setup translates into the CyberRealistic workflow.<hr />⚙️ Personal Settings (Forge Neo)<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b40ebca2-6691-4eb7-b12c-c1b7ad4a28c2/original=true/b40ebca2-6691-4eb7-b12c-c1b7ad4a28c2.jpeg" />or<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/88995d55-0597-417d-9c98-6718508d4db6/original=true/88995d55-0597-417d-9c98-6718508d4db6.jpeg" /><h3 id="required-additional-files">Required Additional Files</h3>Make sure you also have the following: 16 GB+ VRAM: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors?download=true">qwen3_4b.safetensors</a> 8–12 GB VRAM: qwen34bfp8_scaled.safetensors (find it on huggingface.co) All VRAM sizes VAE: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors?download=true">ae.safetensors</a><hr />This model is shared as-is, for users who enjoy experimenting, benchmarking, and pushing models outside the comfort zone.Feedback, findings, and edge cases are welcome - this release exists primarily to learn from real-world usage.

CyberRealistic Z-Image Turbo

Grab this model and many more by joining The Tinkerer on Whop. Membership gets you early releases, private tools and members-only pages, plus a lot more. 👉 <a target="_blank" rel="ugc" href="https://whop.com/joined/cyberdelia-ai-lab/products/the-tinkerer/">Join on Whop</a> By request: V7.0 INT8 ConvRot versionThis version uses INT8 quantization combined with ConvRot. ConvRot applies a rotation before quantization, helping flatten activation/weight outliers and preserve more quality than a straightforward INT8 conversion.The result is a significantly smaller model with much lower VRAM usage than BF16, while retaining most of the original quality.Best for:<ul><li>Low-VRAM systems</li><li>GPUs with strong INT8 performance</li><li>Anyone wanting a smaller model with minimal quality loss</li></ul>Current ComfyUI builds support the format natively on NVIDIA Turing and newer GPUs.Note: INT8 is not automatically faster than FP8. Performance depends on your GPU and backend, so FP8 remains the safer general-purpose choice if you are unsure which version to use.

Files with SHA256: 7ab61311a2a9d84f3adb66f40282a458499497e0434cd0f197dfe9b7ffe6f01e