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"model_type": "z-anime",
"architecture": "S3-DiT",
"parameters": "6B",
"license": "apache-2.0",
"base_model": "Tongyi-MAI/Z-Image",
"base_model_relation": "finetune",
"author": "mcuo",
"pipeline_tag": "text-to-image",
"prompting": {
"style": "natural-language",
"negative_prompt_support": {
"base": "full",
"distill_8step": "limited",
"distill_4step": "limited"
}
},
"variants": {
"base": {
"bf16": "diffusion_models/z-anime-base-bf16.safetensors",
"fp8": "diffusion_models/z-anime-base-fp8.safetensors",
"recommended_settings": {
"steps": "28-50",
"cfg": "3.0-5.0",
"sampler": "euler_ancestral",
"scheduler": "beta"
}
},
"distill_8step": {
"bf16": "diffusion_models/z-anime-distill-8step-bf16.safetensors",
"fp8": "diffusion_models/z-anime-distill-8step-fp8.safetensors",
"recommended_settings": {
"steps": 8,
"cfg": 1.0,
"sampler": "euler_ancestral",
"scheduler": "beta"
}
},
"distill_4step": {
"bf16": "diffusion_models/z-anime-distill-4step-bf16.safetensors",
"fp8": "diffusion_models/z-anime-distill-4step-fp8.safetensors",
"recommended_settings": {
"steps": 4,
"cfg": 1.0,
"sampler": "euler_ancestral",
"scheduler": "beta"
}
},
"gguf": {
"q8_0": {
"file": "gguf/z-anime-base-q8_0.gguf",
"description": "Q8_0 quantization",
"size": "~6.73 GB"
},
"q4_k_s": {
"file": "gguf/z-anime-base-q4_k_s.gguf",
"description": "Q4_K_S quantization",
"size": "~4.2 GB"
}
}
},
"diffusers_folder": {
"path": "diffusers/",
"pipeline_class": "ZImagePipeline",
"usage": "ZImagePipeline.from_pretrained('mcuo/Anime-Z', subfolder='diffusers', torch_dtype=torch.bfloat16)",
"components": [
"model_index.json",
"scheduler/",
"tokenizer/",
"text_encoder/",
"transformer/",
"vae/"
]
},
"components": {
"text_encoders": {
"default": {
"bf16": "text_encoder/qwen_3_4b-bf16.safetensors",
"fp8": "text_encoder/qwen_3_4b-fp8.safetensors",
"description": "Standard Z-Image text encoder, repackaged as a single safetensors",
"comfyui_path": "ComfyUI/models/clip/"
},
"engineer_v4": {
"bf16": "text_encoder/qwen_3_4b-engineer-v4-bf16.safetensors",
"fp8": "text_encoder/qwen_3_4b-engineer-v4-fp8.safetensors",
"description": "Alternative full fine-tune by BennyDaBall (SMART training, more varied outputs)",
"source": "https://huggingface.co/BennyDaBall/Qwen3-4b-Z-Image-Engineer-V4",
"comfyui_path": "ComfyUI/models/clip/"
}
},
"vae": {
"file": "vae/ae.safetensors",
"description": "Z-Image VAE (slightly trained alongside Z-Anime)",
"comfyui_path": "ComfyUI/models/vae/"
}
},
"comfyui_paths": {
"diffusion_models": "ComfyUI/models/diffusion_models/",
"unet": "ComfyUI/models/unet/",
"clip": "ComfyUI/models/clip/",
"vae": "ComfyUI/models/vae/",
"checkpoints": "ComfyUI/models/checkpoints/"
},
"requirements": {
"custom_nodes": [
"rgthree-comfy",
"ComfyUI-Lora-Manager",
"ComfyUI-SeedVR2_VideoUpscaler (optional)"
]
},
"supported_vram": "8GB+",
"links": {
"civitai": "https://civitai.red/models/2483351",
"base_model": "https://huggingface.co/Tongyi-MAI/Z-Image",
"engineer_v4": "https://huggingface.co/BennyDaBall/Qwen3-4b-Z-Image-Engineer-V4",
"author": "https://huggingface.co/mcuo"
},
"notes": [
"BF16 and FP8 are the main release formats.",
"GGUF variants are intended for lower-memory or alternative inference setups.",
"Two text encoders are included: the standard Z-Image one (default) and BennyDaBall's Engineer V4 (alternative).",
"The diffusers/ subfolder is a full diffusers-format checkpoint loadable via ZImagePipeline.from_pretrained(repo, subfolder='diffusers')."
]
} |