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fp8 SafeTensor
CyberRealistic_zit_catalyst_v1.0_fp8.safetensors
8-bit, smaller file (pruned) • 6.09 GB
Verified: 4 months ago
SafeTensor
fp8
CyberRealistic_zit_catalyst_v1.0_fp8.safetensors
8-bit, smaller file (pruned)
Verified: 4 months ago
You need these files to run this model. We'll show the best match for your preferences.
Turbo • ae_zimgturbo.safetensors
Turbo • qwen_3_4b.safetensors
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3,2330 1 2 3 4 5 6 7 8 9,0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
(234)
Apr 3, 2026
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The first release in the Catalyst line. This initial build focuses on improved compatibility with a wider range of LoRAs, alongside skin, color, and bug fix improvements carried over from the standard Z-Image Turbo.
If you find LoRA compatibility to be lacking in this version, you may want to try V0.7, which in some cases offers more stable LoRA performance.
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23.4K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
2.4M0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9M
80.9M0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9M

License:
Apache 2.0
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CyberRealistic Z-Image Turbo Catalyst is part of the Catalyst experimental line - a dedicated space for targeted experiments that go beyond.
This build focuses on three specific areas:
Character LoRA compatibility: better integration and less drift
Skin & color rendering: refined skin tones and overall color behavior
Bug fixes: corrections for known issues
Why Catalyst and not a new Z-Image Turbo version? These changes are experimental by nature. Rather than folding unproven adjustments into the mainline release, Catalyst exists as a separate track so the standard release stays stable while this build gets real-world testing. Think of it as the skunkworks branch.
⚙️ Personal Settings (Forge Neo)

Required Additional Files
Make sure you also have the following:
16 GB+ VRAM: qwen3_4b.safetensors
8–12 GB VRAM: qwen34bfp8_scaled.safetensors
All VRAM sizes VAE: ae.safetensors
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.

