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.gitattributes
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@@ -37,3 +37,5 @@ unstableRevolution_Bf16.jpg filter=lfs diff=lfs merge=lfs -text
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zitDecenterV1_v10_DEturbo_base.jpg filter=lfs diff=lfs merge=lfs -text
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vintageBeauties_zitV15NE.jpg filter=lfs diff=lfs merge=lfs -text
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z_image_de_turbo_v1_bf16.jpg filter=lfs diff=lfs merge=lfs -text
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zitDecenterV1_v10_DEturbo_base.jpg filter=lfs diff=lfs merge=lfs -text
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vintageBeauties_zitV15NE.jpg filter=lfs diff=lfs merge=lfs -text
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z_image_de_turbo_v1_bf16.jpg filter=lfs diff=lfs merge=lfs -text
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CyberRealistic_v05.jpg filter=lfs diff=lfs merge=lfs -text
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vintageBeauties_zitV20Analog.jpg filter=lfs diff=lfs merge=lfs -text
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CyberRealistic_v05.jpg
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Git LFS Details
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CyberRealistic_v05.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:423e77b1ed691579b7275f274a3db4425bbc789b036ddcd6be53881201d1693e
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size 12309884336
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CyberRealistic_v05/INFO.txt
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CyberRealistic Z-Image Turbo is an early experimental build based on the original Z-Image Turbo.
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This release should be seen as a technical experiment, not a finished or fully tuned model. It follows the original Z-Image Turbo settings and philosophy, with minimal intervention, to explore how well this setup translates into the CyberRealistic workflow.
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Big thanks to Ostris for the amazing work - without him, we wouldn’t have been able to do much with this yet.
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What this is not
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❌ Not a polished CyberRealistic mainline release
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❌ Don’t expect miracles
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❌ It won’t turn weak ideas into masterpieces
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❌ It won’t solve world hunger
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❌ It won’t bring world peace
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❌ It will not end wars, climate change, or Monday mornings
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❌ It won’t make coffee or do your taxes
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❌ It is not sentient, aware, or secretly judging your prompts
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So… what is this then?
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✅ A fun experimental build
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✅ Fast, responsive, and interesting to play with
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✅ Meant for experimentation, comparison, and curiosity
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✅ Shared to learn from real-world usage and feedback
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⚙️ Personal Settings (Forge Neo)
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Sampler: DPM++ 2s a RF
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Schedule: Beta
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Sampling steps: 14 Steps
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CFG: 1
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Shift: 6
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Essential files:
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VAE: https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/vae
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Text-encoder: https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/text_encoders
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This model is shared as-is, for users who enjoy experimenting, benchmarking, and pushing models outside the comfort zone.
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Feedback, findings, and edge cases are welcome - this release exists primarily to learn from real-world usage
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vintageBeauties_zitV20Analog.jpg
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Git LFS Details
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vintageBeauties_zitV20Analog.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1b1c0391e866c74c85b7e8434bf5d1bfe6de44ac4cad0cb8dfb7388ecadd313
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size 12309897792
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vintageBeauties_zitV20Analog/info.txt
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This model generates natural hairy bodies with (often) perfect nipples without the need to use multiple LORAs. It is experimental merge and therefore not perfect.
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VintageBeauties ZIT is based on Z_Image_Turbo_bf16
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No cherry-picking or upscaling/refining - just raw output for straightforward evaluation.
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Each image was generated using the same seed.
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Workflows and prompts are included in the images.
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Sampler/scheduler combos to try:
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dpm2_ancestral / sigmoid_offset (great contrast and shadows, depth, artistic)
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er_sde / ddim_uniform (gives analog look to photo without LORAs)
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lcm_custom_noise / linear_quadratic (gives that special render'ish SD 1.5 artificial look)
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