Upload config.json
Browse files- config.json +8 -76
config.json
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"prompting": {
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"style": "natural-language",
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"negative_prompt_support": {
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"
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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": "
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"pipeline_class": "ZImagePipeline",
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"usage": "ZImagePipeline.from_pretrained('SeeSee21/Z-Anime',
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"components": [
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"model_index.json",
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"scheduler/",
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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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"
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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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"
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"
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"
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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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}
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"prompting": {
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"style": "natural-language",
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"negative_prompt_support": {
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"distill_8step": "limited"
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}
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},
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"variants": {
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"distill_8step": {
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"bf16": "diffusion_models/z-anime-distill-8step-bf16.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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},
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"diffusers_folder": {
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"path": "(root)",
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"pipeline_class": "ZImagePipeline",
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"usage": "ZImagePipeline.from_pretrained('SeeSee21/Z-Anime', 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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"text_encoders": {
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"default": {
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"bf16": "text_encoder/qwen_3_4b-bf16.safetensors",
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"description": "Standard Z-Image text encoder, repackaged as a single safetensors"
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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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}
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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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"author": "https://huggingface.co/SeeSee21"
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},
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"notes": [
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"This Space uses the distill_8step BF16 variant for fast 8-step inference.",
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"The base pipeline is loaded via ZImagePipeline.from_pretrained() from the repo root (diffusers format).",
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"The distilled transformer weights are then loaded separately from diffusion_models/z-anime-distill-8step-bf16.safetensors."
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]
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}
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