<h3 id="check-out-big-love-zt3-at-https:civitai.commodels897413modelversionid2695250">Check out Big Love ZT3 at <a rel="ugc" href="https://civarchive.com/models/897413?modelVersionId=2695250">https://civarchive.com/models/897413?modelVersionId=2695250</a></h3>Big Love Z is a fine-tune of Z-Image-Turbo on a subset of the Big Love dataset. It produces a more photorealistic look, more diverse faces and better skin (with the right prompt and seed). You can run it locally with ComfyUI and <a target="_blank" rel="ugc" href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo">Forge Neo</a> as well as online on <a target="_blank" rel="ugc" href="https://tensor.art/models/943444089297208813/Big-Love-Z-ZT1">Tensor Art</a> and Civitai (if you <a target="_blank" rel="ugc" href="https://civarchive.com/auctions/featured-checkpoints">bid for it</a>). The fp8 version produces more noise thus may sometimes look more realistic, but details are not as good. Most of the showcase images have a ComfyUI txt2img workflow embedded. The rest offers Forge Neo metadata.Settings: 8 steps, cfg1, Euler sampler, Normal or Simple scheduler, 832x1216, 1024x1536 or 1280x1920Download (on the right): With 12+ GB VRAM: bf16 version With 8 GB VRAM: fp8 Version Place it in the Diffusion Models (ComfyUI) or Stable Diffusion (Forge Neo) sub folder.Additionally you need: With 12+ 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> With 8 GB VRAM:<a target="_blank" rel="ugc" href="https://huggingface.co/SubtleShader/Qwen3-4B-fp8/resolve/main/qwen_3_4b_fp8.safetensors?download=true"> qwen3-4B-fp8.safetensors</a> With any VRAM: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors?download=true">ae.saftendors</a> Place them in the text_encoder and VAE sub folders.

Big Love Z

Big Love ZT1 is a fine-tune of Z-Image-Turbo on a subset of the Big Love dataset. It produces a more photorealistic look, more diverse faces and better skin (with the right prompt and seed). Still experimental.

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