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Add config

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  1. config.json +131 -0
config.json ADDED
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+ {
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+ "model_type": "z-anime",
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+ "architecture": "S3-DiT",
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+ "parameters": "6B",
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+ "license": "apache-2.0",
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+ "base_model": "Tongyi-MAI/Z-Image",
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+ "base_model_relation": "finetune",
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+ "author": "SeeSee21",
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+ "pipeline_tag": "text-to-image",
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+ "prompting": {
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+ "style": "natural-language",
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+ "negative_prompt_support": {
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+ "base": "full",
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+ "distill_8step": "limited",
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+ "distill_4step": "limited"
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+ }
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+ },
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+ "variants": {
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+ "base": {
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+ "bf16": "diffusion_models/z-anime-base-bf16.safetensors",
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+ "fp8": "diffusion_models/z-anime-base-fp8.safetensors",
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+ "aio_bf16": "aio/z-anime-base-aio-bf16.safetensors",
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+ "aio_fp8": "aio/z-anime-base-aio-fp8.safetensors",
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+ "recommended_settings": {
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+ "steps": "28-50",
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+ "cfg": "3.0-5.0",
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+ "sampler": "euler_ancestral",
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+ "scheduler": "beta"
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+ }
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+ },
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+ "distill_8step": {
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+ "bf16": "diffusion_models/z-anime-distill-8step-bf16.safetensors",
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+ "fp8": "diffusion_models/z-anime-distill-8step-fp8.safetensors",
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+ "aio_bf16": "aio/z-anime-distill-8step-aio-bf16.safetensors",
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+ "aio_fp8": "aio/z-anime-distill-8step-aio-fp8.safetensors",
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+ "recommended_settings": {
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+ "steps": 8,
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+ "cfg": 1.0,
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+ "sampler": "euler_ancestral",
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+ "scheduler": "beta"
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+ }
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+ },
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+ "distill_4step": {
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+ "bf16": "diffusion_models/z-anime-distill-4step-bf16.safetensors",
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+ "fp8": "diffusion_models/z-anime-distill-4step-fp8.safetensors",
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+ "aio_bf16": "aio/z-anime-distill-4step-aio-bf16.safetensors",
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+ "aio_fp8": "aio/z-anime-distill-4step-aio-fp8.safetensors",
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+ "recommended_settings": {
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+ "steps": 4,
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+ "cfg": 1.0,
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+ "sampler": "euler_ancestral",
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+ "scheduler": "beta"
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+ }
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+ },
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+ "gguf": {
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+ "q8_0": {
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+ "file": "gguf/z-anime-base-q8_0.gguf",
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+ "description": "Q8_0 quantization",
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+ "size": "~6.73 GB"
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+ },
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+ "q4_k_s": {
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+ "file": "gguf/z-anime-base-q4_k_s.gguf",
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+ "description": "Q4_K_S quantization",
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+ "size": "~4.2 GB"
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+ }
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+ }
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+ },
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+ "diffusers_folder": {
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+ "path": "diffusers/",
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+ "pipeline_class": "ZImagePipeline",
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+ "usage": "ZImagePipeline.from_pretrained('SeeSee21/Z-Anime', subfolder='diffusers', torch_dtype=torch.bfloat16)",
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+ "components": [
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+ "model_index.json",
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+ "scheduler/",
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+ "tokenizer/",
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+ "text_encoder/",
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+ "transformer/",
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+ "vae/"
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+ ]
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+ },
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+ "components": {
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+ "text_encoders": {
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+ "default": {
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+ "bf16": "text_encoder/qwen_3_4b-bf16.safetensors",
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+ "fp8": "text_encoder/qwen_3_4b-fp8.safetensors",
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+ "description": "Standard Z-Image text encoder, repackaged as a single safetensors",
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+ "comfyui_path": "ComfyUI/models/clip/"
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+ },
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+ "engineer_v4": {
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+ "bf16": "text_encoder/qwen_3_4b-engineer-v4-bf16.safetensors",
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+ "fp8": "text_encoder/qwen_3_4b-engineer-v4-fp8.safetensors",
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+ "description": "Alternative full fine-tune by BennyDaBall (SMART training, more varied outputs)",
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+ "source": "https://huggingface.co/BennyDaBall/Qwen3-4b-Z-Image-Engineer-V4",
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+ "comfyui_path": "ComfyUI/models/clip/"
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+ }
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+ },
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+ "vae": {
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+ "file": "vae/ae.safetensors",
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+ "description": "Z-Image VAE (slightly trained alongside Z-Anime)",
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+ "comfyui_path": "ComfyUI/models/vae/"
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+ }
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+ },
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+ "comfyui_paths": {
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+ "diffusion_models": "ComfyUI/models/diffusion_models/",
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+ "unet": "ComfyUI/models/unet/",
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+ "clip": "ComfyUI/models/clip/",
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+ "vae": "ComfyUI/models/vae/",
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+ "checkpoints": "ComfyUI/models/checkpoints/"
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+ },
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+ "requirements": {
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+ "custom_nodes": [
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+ "rgthree-comfy",
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+ "ComfyUI-Lora-Manager",
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+ "ComfyUI-SeedVR2_VideoUpscaler (optional)"
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+ ]
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+ },
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+ "supported_vram": "8GB+",
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+ "links": {
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+ "civitai": "https://civitai.red/models/2483351",
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+ "base_model": "https://huggingface.co/Tongyi-MAI/Z-Image",
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+ "engineer_v4": "https://huggingface.co/BennyDaBall/Qwen3-4b-Z-Image-Engineer-V4",
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+ "author": "https://huggingface.co/SeeSee21"
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+ },
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+ "notes": [
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+ "BF16 and FP8 are the main release formats.",
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+ "GGUF variants are intended for lower-memory or alternative inference setups.",
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+ "AIO variants include the Text Encoder and VAE in a single file (Base, 4-Step, 8-Step).",
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+ "Two text encoders are included: the standard Z-Image one (default) and BennyDaBall's Engineer V4 (alternative).",
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+ "The diffusers/ subfolder is a full diffusers-format checkpoint loadable via ZImagePipeline.from_pretrained(repo, subfolder='diffusers')."
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+ ]
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+ }