Commit ·
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Parent(s):
Duplicate from RunDiffusion/Juggernaut-Z-Image
Browse filesCo-authored-by: RunDiffusion <RunDiffusion@users.noreply.huggingface.co>
- .gitattributes +43 -0
- Juggernaut_Z_V1_FP8_e4m3fn.safetensors +3 -0
- Juggernaut_Z_V1_by_RunDiffusion.safetensors +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_fp16.safetensors +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_q4_k_m-002.gguf +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_q4_k_s-001.gguf +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_q5_k_s-005.gguf +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_q6_k-004.gguf +3 -0
- Juggernaut_Z_V1_by_RunDiffusion_q8_0.gguf +3 -0
- README.md +180 -0
- assets/RD_Mark.png +0 -0
- model_index.json +25 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +30 -0
- text_encoder/generation_config.json +13 -0
- text_encoder/model-00001-of-00003.safetensors +3 -0
- text_encoder/model-00002-of-00003.safetensors +3 -0
- text_encoder/model-00003-of-00003.safetensors +3 -0
- text_encoder/model.safetensors.index.json +405 -0
- tokenizer/chat_template.jinja +89 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +29 -0
- transformer/config.json +33 -0
- transformer/diffusion_pytorch_model-00001-of-00002.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00002.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +528 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
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README.md
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---
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license: cc-by-nc-4.0
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language:
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- en
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pipeline_tag: text-to-image
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base_model: Tongyi-MAI/Z-Image
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tags:
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- gguf
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- safetensors
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- text-to-image
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- rundiffusion
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- z-image
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---
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<div align="center">
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<a href="https://www.rundiffusion.com/?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=header_logo">
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<img src="https://huggingface.co/RunDiffusion/Juggernaut-Z-Image/resolve/main/assets/RD_Mark.png" alt="RunDiffusion" width="110" />
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</a>
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<h1>Juggernaut Z by RunDiffusion</h1>
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<p><i>A cinematic fine-tune of Z-Image Base — tuned for presentation-ready output.</i></p>
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<p>
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<a href="https://www.rundiffusion.com/juggernaut-z?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=cta_primary"><img alt="Try Juggernaut Z" src="https://img.shields.io/badge/%E2%96%B6%20Try%20Juggernaut%20Z-7C3AED?style=for-the-badge&labelColor=7C3AED"></a> <a href="https://www.rundiffusion.com/juggernaut-z-prompt-guide?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=prompt_guide_badge"><img alt="Prompt Guide" src="https://img.shields.io/badge/Prompt%20Guide-1f1f23?style=for-the-badge"></a> <a href="https://huggingface.co/Tongyi-MAI/Z-Image"><img alt="Base Model: Z-Image" src="https://img.shields.io/badge/%F0%9F%A4%97%20Base%20Model-Z--Image-FFD21E?style=for-the-badge&labelColor=1f1f23"></a> <img alt="License: CC BY-NC 4.0" src="https://img.shields.io/badge/License-CC%20BY--NC%204.0-2ea44f?style=for-the-badge">
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</p>
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</div>
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<p align="center">
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<img src="https://www.rundiffusion.com/images/juggernaut-z/hero-image.jpg" alt="Juggernaut Z hero" />
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</p>
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> Juggernaut Z is a fine-tune of **Z-Image Base** by **Team Juggernaut**, trained by **KandooAI**, and released through **RunDiffusion**. It is tuned for stronger lighting, sharper focus, more refined skin texture, and more cinematic atmosphere — out of the box.
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This repository hosts the official RunDiffusion release artifacts: full-precision weights, FP16 and FP8 variants, and a full set of GGUF quantizations.
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---
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## Highlights
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- More dramatic, cinematic **lighting** out of the box
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- Sharper **focus** and a more deliberate camera feel
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- Cleaner **portraits** with more natural skin texture
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- Improved **anatomy** and structural integrity
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- Better representation across **ethnicities** by default
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- Tuned for editorial, concept, and cinematic work
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## Comparisons
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All sets below show **Juggernaut Z (left)** vs **Z-Image Base (right)**. Source: the [RunDiffusion Juggernaut Z announcement](https://www.rundiffusion.com/juggernaut-z?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=comparison_source).
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### Lighting
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More dramatic, cinematic lighting out of the box.
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### Skin & Texture
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Cleaner, more natural-looking skin — especially in close-up portraits.
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### Anatomy
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Cleaner anatomy and more consistent structural detail across a wide range of subjects.
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### Composition
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Improved subject and object placement within scenes, with further work planned for v2.
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### Diversity
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More balanced results across ethnic backgrounds, with better representation by default.
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| 98 |
+
|
| 99 |
+
|
| 100 |
+
### Architecture
|
| 101 |
+
|
| 102 |
+
Cleaner structural lines and more coherent material rendering.
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
|
| 106 |
+
|
| 107 |
+
## Recommended Settings
|
| 108 |
+
|
| 109 |
+
| Parameter | Default | Range |
|
| 110 |
+
| --- | --- | --- |
|
| 111 |
+
| CFG | `6` | `6 – 9` |
|
| 112 |
+
| Steps | `35` | `25 – 45` |
|
| 113 |
+
|
| 114 |
+
## Good Fit For
|
| 115 |
+
|
| 116 |
+
- Portraits with cleaner facial detail and stronger focus
|
| 117 |
+
- Cinematic scenes with strong lighting and atmosphere
|
| 118 |
+
- Concept development and visual exploration
|
| 119 |
+
- Editorial and fashion work that benefits from a polished finish
|
| 120 |
+
|
| 121 |
+
## Files In This Repo
|
| 122 |
+
|
| 123 |
+
| File | Format | Notes |
|
| 124 |
+
| --- | --- | --- |
|
| 125 |
+
| `Juggernaut_Z_V1_by_RunDiffusion.safetensors` | safetensors (bf16) | Original release weights |
|
| 126 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_fp16.safetensors` | safetensors (fp16) | Half-precision |
|
| 127 |
+
| `Juggernaut_Z_V1_FP8_e4m3fn.safetensors` | safetensors (fp8 e4m3fn) | Lower VRAM footprint |
|
| 128 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_q8_0.gguf` | GGUF · q8_0 | Highest-quality quant |
|
| 129 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_q6_k-004.gguf` | GGUF · q6_k | |
|
| 130 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf` | GGUF · q5_k_m | |
|
| 131 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_q5_k_s-005.gguf` | GGUF · q5_k_s | |
|
| 132 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_q4_k_m-002.gguf` | GGUF · q4_k_m | |
|
| 133 |
+
| `Juggernaut_Z_V1_by_RunDiffusion_q4_k_s-001.gguf` | GGUF · q4_k_s | Smallest footprint |
|
| 134 |
+
| `model_index.json` + `transformer/`, `text_encoder/`, `tokenizer/`, `vae/`, `scheduler/` | 🤗 Diffusers format | Loaded by `DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-Z-Image")` |
|
| 135 |
+
|
| 136 |
+
Use the `.safetensors` variants with the workflow that matches your local inference stack. Use the `.gguf` variants with a GGUF-compatible runtime. Use the Diffusers component layout with the 🤗 Diffusers library — see below.
|
| 137 |
+
|
| 138 |
+
## Use with 🤗 Diffusers
|
| 139 |
+
|
| 140 |
+
The repo includes `model_index.json` and the standard 🤗 Diffusers component directories (`transformer/`, `text_encoder/`, `tokenizer/`, `vae/`, `scheduler/`) at the root, exported as a `ZImagePipeline`. Load it with:
|
| 141 |
+
|
| 142 |
+
```python
|
| 143 |
+
from diffusers import DiffusionPipeline
|
| 144 |
+
import torch
|
| 145 |
+
|
| 146 |
+
pipe = DiffusionPipeline.from_pretrained(
|
| 147 |
+
"RunDiffusion/Juggernaut-Z-Image",
|
| 148 |
+
torch_dtype=torch.bfloat16,
|
| 149 |
+
).to("cuda")
|
| 150 |
+
|
| 151 |
+
image = pipe(
|
| 152 |
+
"a cinematic portrait, dramatic lighting",
|
| 153 |
+
guidance_scale=6.0,
|
| 154 |
+
num_inference_steps=35,
|
| 155 |
+
).images[0]
|
| 156 |
+
image.save("output.png")
|
| 157 |
+
```
|
| 158 |
+
|
| 159 |
+
`from_pretrained` only downloads files declared in `model_index.json`, so it will not pull the standalone `.safetensors` / `.gguf` variants at the repo root. Requires a version of `diffusers` that includes `ZImagePipeline` support (verified against `diffusers` 0.37.1 and 0.38.0). Commercial use of the model and its outputs is restricted under CC BY-NC 4.0 — see [License & Commercial Use](#license--commercial-use) below.
|
| 160 |
+
|
| 161 |
+
## Links
|
| 162 |
+
|
| 163 |
+
- **Run Juggernaut Z on RunDiffusion** → [rundiffusion.com/juggernaut-z](https://www.rundiffusion.com/juggernaut-z?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=footer_run)
|
| 164 |
+
- **Prompt guide** → [Juggernaut Z Prompt Guide](https://www.rundiffusion.com/juggernaut-z-prompt-guide?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=footer_prompt_guide)
|
| 165 |
+
- **Base model** → [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image)
|
| 166 |
+
|
| 167 |
+
## Attribution
|
| 168 |
+
|
| 169 |
+
Juggernaut Z is built on Z-Image Base — credit for the upstream base model belongs to the Z-Image team. This fine-tuned release is by **Team Juggernaut**, with training by **KandooAI**, published by **RunDiffusion**.
|
| 170 |
+
|
| 171 |
+
## License & Commercial Use
|
| 172 |
+
|
| 173 |
+
Juggernaut Z is released under **[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)**:
|
| 174 |
+
|
| 175 |
+
- **BY** — attribute RunDiffusion / Team Juggernaut / KandooAI when sharing output.
|
| 176 |
+
- **NC** — **non-commercial use only**. You may not use the model — or its outputs in a workflow — for commercial purposes without a license.
|
| 177 |
+
|
| 178 |
+
You are free to fine-tune, merge, build LoRAs, and otherwise modify the model for non-commercial purposes.
|
| 179 |
+
|
| 180 |
+
**For commercial licensing**, custom models, business inquiries, or consultation, contact **[juggernaut@rundiffusion.com](mailto:juggernaut@rundiffusion.com)**.
|
assets/RD_Mark.png
ADDED
|
model_index.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "ZImagePipeline",
|
| 3 |
+
"_diffusers_version": "0.37.1",
|
| 4 |
+
"_name_or_path": "Tongyi-MAI/Z-Image",
|
| 5 |
+
"scheduler": [
|
| 6 |
+
"diffusers",
|
| 7 |
+
"FlowMatchEulerDiscreteScheduler"
|
| 8 |
+
],
|
| 9 |
+
"text_encoder": [
|
| 10 |
+
"transformers",
|
| 11 |
+
"Qwen3Model"
|
| 12 |
+
],
|
| 13 |
+
"tokenizer": [
|
| 14 |
+
"transformers",
|
| 15 |
+
"Qwen2Tokenizer"
|
| 16 |
+
],
|
| 17 |
+
"transformer": [
|
| 18 |
+
"diffusers",
|
| 19 |
+
"ZImageTransformer2DModel"
|
| 20 |
+
],
|
| 21 |
+
"vae": [
|
| 22 |
+
"diffusers",
|
| 23 |
+
"AutoencoderKL"
|
| 24 |
+
]
|
| 25 |
+
}
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.37.1",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 6.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 2560,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 9728,
|
| 14 |
+
"max_position_embeddings": 40960,
|
| 15 |
+
"max_window_layers": 36,
|
| 16 |
+
"model_type": "qwen3",
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 36,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"rms_norm_eps": 1e-06,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"rope_theta": 1000000,
|
| 23 |
+
"sliding_window": null,
|
| 24 |
+
"tie_word_embeddings": true,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.51.0",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"use_sliding_window": false,
|
| 29 |
+
"vocab_size": 151936
|
| 30 |
+
}
|
text_encoder/generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.51.0"
|
| 13 |
+
}
|
text_encoder/model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:328a91d3122359d5547f9d79521205bc0a46e1f79a792dfe650e99fc2d651223
|
| 3 |
+
size 3957900840
|
text_encoder/model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cd087b316306a68c562436b5492edbcf6e16c6dba3a1308279caa5a58e21ca5
|
| 3 |
+
size 3987450520
|
text_encoder/model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ca841ee75b9c61267c0c6148fd8d096d3d21b6d3e161256a9b878154f91fc52
|
| 3 |
+
size 99630640
|
text_encoder/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,405 @@
|
|
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|
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"model.layers.35.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 337 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 338 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 339 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 340 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 341 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 342 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 343 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 344 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 345 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
|
| 346 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 347 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 348 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 349 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 350 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 351 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 352 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 353 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 354 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 355 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 356 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
|
| 357 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 358 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 359 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 360 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 361 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 362 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 363 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 364 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 365 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 366 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 367 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
|
| 368 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 369 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 370 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 371 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 372 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 373 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 374 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 375 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 376 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 377 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 378 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
|
| 379 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 380 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 381 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 382 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 383 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 384 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 385 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 386 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 387 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 388 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 389 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
|
| 390 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 391 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 392 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 393 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 394 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 395 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 396 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 397 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 398 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 399 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 400 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
|
| 401 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 402 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 403 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
| 404 |
+
}
|
| 405 |
+
}
|
tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
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|
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|
|
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|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
transformer/config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "ZImageTransformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.37.1",
|
| 4 |
+
"_name_or_path": "/root/.cache/huggingface/hub/models--Tongyi-MAI--Z-Image/snapshots/04cc4abb7c5069926f75c9bfde9ef43d49423021/transformer",
|
| 5 |
+
"all_f_patch_size": [
|
| 6 |
+
1
|
| 7 |
+
],
|
| 8 |
+
"all_patch_size": [
|
| 9 |
+
2
|
| 10 |
+
],
|
| 11 |
+
"axes_dims": [
|
| 12 |
+
32,
|
| 13 |
+
48,
|
| 14 |
+
48
|
| 15 |
+
],
|
| 16 |
+
"axes_lens": [
|
| 17 |
+
1536,
|
| 18 |
+
512,
|
| 19 |
+
512
|
| 20 |
+
],
|
| 21 |
+
"cap_feat_dim": 2560,
|
| 22 |
+
"dim": 3840,
|
| 23 |
+
"in_channels": 16,
|
| 24 |
+
"n_heads": 30,
|
| 25 |
+
"n_kv_heads": 30,
|
| 26 |
+
"n_layers": 30,
|
| 27 |
+
"n_refiner_layers": 2,
|
| 28 |
+
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vae/config.json
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vae/diffusion_pytorch_model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f58ad0fbb7e0621871b778bf36a6faeb2c46a79adb32b898b60acd1f9560f890
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| 3 |
+
size 167666654
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