No trigger words! Just use the LoRA, suggested weight is 0.5-0.8:<h3 id="after-the-latest-comfyui-update-i-cannot-recreate-any-of-the-sample-images.-looks-like-weight-1.0-is-way-too-much-for-the-lora.-0.7-gets-very-close-to-the-sample-images.">After the latest ComfyUI update,<s> I cannot recreate ANY of the sample images.</s> Looks like weight 1.0 is WAY too much for the LoRA. 0.7 gets very close to the sample images.</h3>Disclaimer: This is an experimental LoRA! Just trying to see what Z-Image-Turbo is capable; still waiting for the full base model to be released. The base model can barely do NSFW and Nudity and the LoRA Dataset is 100% SFW (its just official artwork!), don't expect the LoRA to do NSFW! Start your prompt with: "A detailed comic book illustration by Clay Mann..." or "An digital illustration by Clay Mann featuring..." or "A hand-drawn illustration by Clay Mann...". Just make sure to mention the media (illustration, comic book, digital, drawing, paper, etc) and the artist name; the base model is great with Natural Language and long prompts; try to avoid tag based prompting. ComfyUI Metadata is included in the sample images! Click the little icon in the bottom right to see it.Please check out my Ko-Fi page if you are interested in supporting me. <a target="_blank" rel="ugc" href="https://ko-fi.com/part_loras"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6c67016e-2ca9-4180-a561-836074740acb/width=525/6c67016e-2ca9-4180-a561-836074740acb.jpeg" /></a>LoRA commissions for SD1.5, SDXL(Pony, Illustrious and Photoreal) and FLUX open!<a target="_blank" rel="ugc" href="https://www.fiverr.com/s/Q74aPzy"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8d41ec7c-4f49-4ca7-8edd-bbe0ef2bb737/width=525/8d41ec7c-4f49-4ca7-8edd-bbe0ef2bb737.jpeg" /></a>It was trained on 107 1024x1024 images scraped from the internet and extracted from scanned comic books.

Clay Mann Artstyle - Z-Image-Turbo

This version is Trained with V2 adapter, which is more stable but it also less accurate.

Files with SHA256: db554df84c4004e7ed9a22f098f384d7e0244d66c3aa0c0d90e88491aabc7fb5