📝 Description
CielBleu ZIT is an experimental fine-tuned merge, based on the original Z-Image Turbo and other ZIT models.
It's designed for high-fidelity photorealism. It delivers photorealistic portraits with sophisticated lighting and organic texture rendering, maintaining full creative flexibility and prompt fidelity.
⚙️ Recommended Parameters
Sampling Method : Euler
Schedule Type : Simple
Steps : 16
CFG : 1
Prompt : Long detailed natural language description, between 100-350 tokens.
Resolution : Any width & height between 1024 and 2048, as long as they are divisible by 16.
⚠️ NSFW Note
This model is capable of producing both SFW and NSFW content, but it has all the same flaws as the original Z-Image Turbo when it comes to NSFW content. I suggest either using a specialized NSFW Lora or performing SDXL inpainting.
ℹ️ Required Additional Files
Like the original Z-Image Turbo, CielBleu ZIT needs :
Text Encoder : qwen3_4b.safetensors
VAE : ae.safetensors
Description
Initial version.
FAQ
Comments (17)
Can this checkpoint be used with a character LoRA without changing its identity?
I can confirm it works with a character LoRA trained on "DARKMOP V61," which means it probably shares a lot of the same DNA. Normally, ZIT LoRAs have poor compatibility across checkpoints.
@ralphjx It depends on which checkpoint your Character LoRA was trained on.
I suggest you testing your LoRA with CielBleu ZIT, if the results differ too much, train your LoRA again on this model.
@cielbleu9991 i always train my loras on Z image Base in OstrisAI because is compatible with ZIT also... so...
@ralphjx If your LoRA was trained on ZIB or ZIT, it should be compatible with CielBleu ZIT.
release BF16 for making proper quants
Unfortunately, it's not possible to release a BF16 version, as most of the merged models are FP8 and FP16. Even though my script uses FP32 conversions, offering a BF16 version would only make the file larger without improving the result.
in the end it all comes to inpainting, so can you please share you inpainting workflow used here...
@TaiLong It usually produces good NSFW results even without inpainting.
If you need to do SDXL inpainting, I recommend modifying an existing ComfyUI template.
I use Forge Neo, and the inpainting is done directly in the "img2img" tab, then "inpaint" sub tab.
@cielbleu9991 ohh , which sdxl model? Lustify?
@TaiLong It depends on the context, the SDXL models I use for inpainting are :
- Analog Madness SDXL
- GonzaLomo XL
- IntoRealism Ultra / Ultra Amateur
- HuslyoRealismXL
@cielbleu9991 ok thanks
Please BF16 version
Unfortunately, it's not possible to release a BF16 version, as most of the merged models are FP8 and FP16. Even though my script uses FP32 conversions, offering a BF16 version would only make the file larger without improving the result.
Does it work with character LoRAs? And what do you mean by SDXL inpainting for NSFW? Is there a guide on that?
Worked with multiple character loras I tried it with.
@RedAstronaut CielBleu ZIT works with Character LoRAs trained on ZIT checkpoints.
SDXL Inpainting is a technique that lets you fix or improve specific areas of an image without regenerating the whole thing. You paint a mask over the area you want to change, then a different checkpoint (typically an SDXL-based model) regenerates only that masked region. Since SDXL models have been trained on much more diverse data than Z-Image Turbo, they tend to produce significantly better NSFW anatomical details. The result is then seamlessly blended back into your original image.
I suggest you have a look at an inpainting tutorial for the UI you’re using (Forge Neo, ComfyUI, etc.).
Details
Files
ae.safetensors
Mirrors
ae.safetensors
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fluxVae_v10.safetensors
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Zimage-vae.safetensors
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ae.safetensors
Flux.1 VAE [FP32].safetensors
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cielbleuZIT_v1_txt.safetensors
Mirrors
qwen_3_4b.safetensors
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text_encoder-qwen_3_4b.safetensors
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qwen_3_4b.safetensors
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Z-Image_qwen_3_4b.safetensors
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qwen_3_4b.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
zImageTurbo_textEncoder.safetensors
qwen_3_4b.safetensors
zImageTurbo_textEncoder.safetensors
qwen_3_4b.safetensors
TEXT_TO_IMAGE_qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
text_encoder.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
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qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b.safetensors
qwen_3_4b.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b-bf16.safetensors
qwen_3_4b.safetensors
qwen3-4b.safetensors
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