What is Z-Image?
Z-Image is a family of image generation models by Alibaba / Tongyi-MAI.
The name Z-Image refers to the entire model family, which can be confusing, but this page covers Z-Image as the base model (sometimes referred to as Z-Image-Base to distinguish it).
Z-Image has straightforward characteristics as a base model (source for fine-tuning).
Unlike Z-Image-Turbo which is stabilized by distillation and reinforcement learning, Z-Image directly reflects differences in seeds and initial noise in its output. While this offers high creativity and variation, it is also a difficult model where results can vary significantly and parameters are sensitive.
Model Download
- diffusion_models
- z_image_bf16.safetensors (12.3 GB)
- text_encoders
- qwen_3_4b.safetensors (8.04 GB)
- vae
- ae.safetensors (335 MB)
📂ComfyUI/
└── 📂models/
├── 📂diffusion_models/
│ └── z_image_bf16.safetensors
├── 📂text_encoders/
│ └── qwen_3_4b.safetensors
└── 📂vae/
└── ae.safetensors
text2image
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"## models\n- [z_image_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image/blob/main/split_files/diffusion_models/z_image_bf16.safetensors)\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/text_encoders/qwen_3_4b.safetensors)\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/vae/ae.safetensors)\n\n```\n📂ComfyUI/\n└── 📂models/\n ├── 📂diffusion_models/\n │ └── z_image_bf16.safetensors\n ├── 📂text_encoders/\n │ └── qwen_3_4b.safetensors\n └── 📂vae/\n └── ae.safetensors\n```"
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steps: Depending on the sampler, 30-40 steps (slightly higher) is more stable.
Refine with Z-Image-Turbo
This method uses Z-Image-Turbo to refine the generation results of Z-Image in a few steps. It aims to combine the creativity of Z-Image with the stability of Z-Image-Turbo.
You can use image2image, but let's try splitting the sampling into two stages for a smarter approach.
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"## models\n- [z_image_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image/blob/main/split_files/diffusion_models/z_image_bf16.safetensors)\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors)\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/text_encoders/qwen_3_4b.safetensors)\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/vae/ae.safetensors)\n\n```\n📂ComfyUI/\n└── 📂models/\n ├── 📂diffusion_models/\n │ ├── z_image_bf16.safetensors\n │ └── z_image_turbo_bf16.safetensors\n ├── 📂text_encoders/\n │ └── qwen_3_4b.safetensors\n └── 📂vae/\n └── ae.safetensors\n```"
]
}
],
"links": [
[
74,
38,
0,
6,
0,
"CLIP"
],
[
75,
38,
0,
7,
0,
"CLIP"
],
[
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0,
8,
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"VAE"
],
[
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],
[
101,
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"IMAGE"
],
[
103,
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0,
62,
3,
"LATENT"
],
[
105,
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0,
60,
3,
"LATENT"
],
[
106,
7,
0,
60,
2,
"CONDITIONING"
],
[
107,
6,
0,
60,
1,
"CONDITIONING"
],
[
108,
6,
0,
62,
1,
"CONDITIONING"
],
[
109,
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62,
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"CONDITIONING"
],
[
110,
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"MODEL"
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[
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],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.9090909090909092,
"offset": [
71.64929504493259,
442.37738257756666
]
},
"frontendVersion": "1.37.11",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}
Here we split it into the first 50% and the last 50%. (cf. Split Sampling)
- 🟪 Z-Image : 15 steps out of 30 steps
- 🟨 Z-Image-Turbo : 4 steps out of 8 steps
Comparison
Z-Image-Fun-Controlnet-Union-2.1
A ControlNet-like patch for Z-Image.
Model Download
-
model_patches
📂ComfyUI/
└── 📂models/
└── 📂model_patches/
└── Z-Image-Fun-Controlnet-Union-2.1.safetensors
workflow
{
"id": "d8034549-7e0a-40f1-8c2e-de3ffc6f1cae",
"revision": 0,
"last_node_id": 70,
"last_link_id": 124,
"nodes": [
{
"id": 8,
"type": "VAEDecode",
"pos": [
1543.4527151869986,
186
],
"size": [
157.56002807617188,
46
],
"flags": {},
"order": 15,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 35
},
{
"name": "vae",
"type": "VAE",
"link": 114
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"slot_index": 0,
"links": [
101
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "VAEDecode"
},
"widgets_values": []
},
{
"id": 38,
"type": "CLIPLoader",
"pos": [
56.288665771484375,
312.74468994140625
],
"size": [
301.3524169921875,
106
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "CLIP",
"type": "CLIP",
"slot_index": 0,
"links": [
74,
75
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "CLIPLoader"
},
"widgets_values": [
"qwen_3_4b.safetensors",
"lumina2",
"default"
],
"color": "#432",
"bgcolor": "#653"
},
{
"id": 56,
"type": "SaveImage",
"pos": [
1739.4158111474596,
186
],
"size": [
535.0608199082301,
683.4737593989388
],
"flags": {},
"order": 16,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 101
}
],
"outputs": [],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.75"
},
"widgets_values": [
"ComfyUI"
]
},
{
"id": 54,
"type": "ModelSamplingAuraFlow",
"pos": [
603.9390258789062,
45.71437377929687
],
"size": [
230.33058166503906,
58
],
"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 99
}
],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [
108
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.49",
"Node name for S&R": "ModelSamplingAuraFlow"
},
"widgets_values": [
3.1
]
},
{
"id": 62,
"type": "VAEEncode",
"pos": [
681.8294099357819,
843.6709899023072
],
"size": [
148.78459999999995,
46
],
"flags": {},
"order": 11,
"mode": 0,
"inputs": [
{
"name": "pixels",
"type": "IMAGE",
"link": 113
},
{
"name": "vae",
"type": "VAE",
"link": 104
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [
110
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.76",
"Node name for S&R": "VAEEncode"
},
"widgets_values": []
},
{
"id": 65,
"type": "QwenImageDiffsynthControlnet",
"pos": [
872.6726754282345,
186
],
"size": [
278.97390399018593,
138
],
"flags": {},
"order": 12,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 108
},
{
"name": "model_patch",
"type": "MODEL_PATCH",
"link": 105
},
{
"name": "vae",
"type": "VAE",
"link": 106
},
{
"name": "image",
"type": "IMAGE",
"link": 123
},
{
"name": "mask",
"shape": 7,
"type": "MASK",
"link": null
}
],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [
109
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.76",
"Node name for S&R": "QwenImageDiffsynthControlnet"
},
"widgets_values": [
0.8
],
"color": "#232",
"bgcolor": "#353"
},
{
"id": 37,
"type": "UNETLoader",
"pos": [
267.6552734375,
45.714373779296864
],
"size": [
305.3782043457031,
82
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"slot_index": 0,
"links": [
99
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "UNETLoader"
},
"widgets_values": [
"Z-Image\\z_image_bf16.safetensors",
"default"
],
"color": "#323",
"bgcolor": "#535"
},
{
"id": 67,
"type": "LoadImage",
"pos": [
-94.28508725933216,
698.0254172619354
],
"size": [
359.21847812500005,
533.241
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
111
]
},
{
"name": "MASK",
"type": "MASK",
"links": null
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.76",
"Node name for S&R": "LoadImage"
},
"widgets_values": [
"pasted/image (138).png",
"image"
]
},
{
"id": 60,
"type": "PreviewImage",
"pos": [
872.6726754282345,
698.0254172619354
],
"size": [
254.1998000000001,
361.313
],
"flags": {},
"order": 13,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 124
}
],
"outputs": [],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.76",
"Node name for S&R": "PreviewImage"
},
"widgets_values": []
},
{
"id": 61,
"type": "VAELoader",
"pos": [
301.5928496741561,
868.703383195522
],
"size": [
235.45454545454538,
58
],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "VAE",
"type": "VAE",
"slot_index": 0,
"links": [
104,
106,
114
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "VAELoader"
},
"widgets_values": [
"ae.safetensors"
],
"color": "#322",
"bgcolor": "#533"
},
{
"id": 63,
"type": "ModelPatchLoader",
"pos": [
552.2443630537383,
576.3798446215637
],
"size": [
278.3696468820435,
58
],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "MODEL_PATCH",
"type": "MODEL_PATCH",
"links": [
105
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.76",
"Node name for S&R": "ModelPatchLoader"
},
"widgets_values": [
"Z-Image\\Z-Image-Fun-Controlnet-Union-2.1.safetensors"
],
"color": "#232",
"bgcolor": "#353"
},
{
"id": 68,
"type": "ResizeImageMaskNode",
"pos": [
301.5928496741561,
698.0254172619354
],
"size": [
236.556640625,
106
],
"flags": {},
"order": 9,
"mode": 0,
"inputs": [
{
"name": "input",
"type": "IMAGE,MASK",
"link": 111
}
],
"outputs": [
{
"name": "resized",
"type": "IMAGE",
"links": [
112,
113
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.11.1",
"Node name for S&R": "ResizeImageMaskNode"
},
"widgets_values": [
"scale total pixels",
1.5,
"area"
]
},
{
"id": 64,
"type": "DepthAnythingV2Preprocessor",
"pos": [
571.9494396232819,
698.0254172619354
],
"size": [
258.6645703124999,
82
],
"flags": {},
"order": 10,
"mode": 0,
"inputs": [
{
"name": "image",
"type": "IMAGE",
"link": 112
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
123,
124
]
}
],
"properties": {
"cnr_id": "comfyui_controlnet_aux",
"ver": "12f35647f0d510e03b45a47fb420fe1245a575df",
"Node name for S&R": "DepthAnythingV2Preprocessor"
},
"widgets_values": [
"depth_anything_v2_vitl.pth",
512
],
"color": "#232",
"bgcolor": "#353"
},
{
"id": 6,
"type": "CLIPTextEncode",
"pos": [
415.00001525878906,
186
],
"size": [
419.26959228515625,
156.00363159179688
],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 74
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"slot_index": 0,
"links": [
46
]
}
],
"title": "CLIP Text Encode (Positive Prompt)",
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"semi-3D toon illustration, clean studio look, smooth shading, soft global illumination, crisp outlines (subtle), high readability, simple but not flat, minimal background, white backdrop. a black cat peeking out from a blue shopping bag, one paw resting on the bag edge, a human hand holding the bag handles. cute face, large eyes, glossy but controlled highlights, natural proportions, clean materials"
]
},
{
"id": 7,
"type": "CLIPTextEncode",
"pos": [
415,
405.6492042321686
],
"size": [
419.26959228515625,
107.08506774902344
],
"flags": {
"collapsed": false
},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 75
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"slot_index": 0,
"links": [
52
]
}
],
"title": "CLIP Text Encode (Negative Prompt)",
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"photorealisti, text, logo, watermark, signature, noise, jpeg artifacts"
]
},
{
"id": 3,
"type": "KSampler",
"pos": [
1190.0496473027094,
186
],
"size": [
315,
262
],
"flags": {},
"order": 14,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 109
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 46
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 52
},
{
"name": "latent_image",
"type": "LATENT",
"link": 110
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"slot_index": 0,
"links": [
35
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "KSampler"
},
"widgets_values": [
12345,
"fixed",
30,
4,
"euler",
"simple",
1
]
},
{
"id": 55,
"type": "MarkdownNote",
"pos": [
-159.02895116299885,
-24.088770293079595
],
"size": [
372.9441184528023,
255.0671111260163
],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [],
"outputs": [],
"properties": {},
"widgets_values": [
"## models\n- [z_image_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image/blob/main/split_files/diffusion_models/z_image_bf16.safetensors)\n- [Z-Image-Fun-Controlnet-Union-2.1.safetensors](https://huggingface.co/alibaba-pai/Z-Image-Fun-Controlnet-Union-2.1/blob/main/Z-Image-Fun-Controlnet-Union-2.1.safetensors)\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/text_encoders/qwen_3_4b.safetensors)\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/vae/ae.safetensors)\n\n```\n📂ComfyUI/\n└── 📂models/\n ├── 📂diffusion_models/\n │ └── z_image_bf16.safetensors\n ├── 📂model_patches/\n │ └── Z-Image-Fun-Controlnet-Union-2.1.safetensors\n ├── 📂text_encoders/\n │ └── qwen_3_4b.safetensors\n └── 📂vae/\n └── ae.safetensors\n```"
],
"color": "#323",
"bgcolor": "#535"
}
],
"links": [
[
35,
3,
0,
8,
0,
"LATENT"
],
[
46,
6,
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[
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],
[
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[
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[
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"groups": [],
"config": {},
"extra": {
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"offset": [
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},
"frontendVersion": "1.37.11",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}
- 🟩 Add model and control image to
QwenImageDiffsynthControlnet. - 🟩 In this workflow, Depth Anything V2 is used to create a depth map.