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Browse files- .gitattributes +22 -9
- LICENSE +201 -0
- README.md +137 -0
- model_index.json +24 -0
- scheduler/scheduler_config.json +17 -0
- text_encoder/config.json +32 -0
- text_encoder/model-00001-of-00004.safetensors +3 -0
- text_encoder/model-00002-of-00004.safetensors +3 -0
- text_encoder/model-00003-of-00004.safetensors +3 -0
- text_encoder/model-00004-of-00004.safetensors +3 -0
- text_encoder/model.safetensors.index.json +449 -0
- tokenizer/special_tokens_map.json +32 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +151 -0
- transformer/config.json +19 -0
- transformer/diffusion_pytorch_model-00001-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +415 -0
- vae/config.json +37 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
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182 |
+
replaced with your own identifying information. (Don't include
|
183 |
+
the brackets!) The text should be enclosed in the appropriate
|
184 |
+
comment syntax for the file format. We also recommend that a
|
185 |
+
file or class name and description of purpose be included on the
|
186 |
+
same "printed page" as the copyright notice for easier
|
187 |
+
identification within third-party archives.
|
188 |
+
|
189 |
+
Copyright 2025 CogView Model Team @ Zhipu AI
|
190 |
+
|
191 |
+
Licensed under the Apache License, Version 2.0 (the "License");
|
192 |
+
you may not use this file except in compliance with the License.
|
193 |
+
You may obtain a copy of the License at
|
194 |
+
|
195 |
+
http://www.apache.org/licenses/LICENSE-2.0
|
196 |
+
|
197 |
+
Unless required by applicable law or agreed to in writing, software
|
198 |
+
distributed under the License is distributed on an "AS IS" BASIS,
|
199 |
+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
200 |
+
See the License for the specific language governing permissions and
|
201 |
+
limitations under the License.
|
README.md
ADDED
@@ -0,0 +1,137 @@
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|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
language:
|
4 |
+
- zh
|
5 |
+
- en
|
6 |
+
base_model:
|
7 |
+
- THUDM/glm-4-9b
|
8 |
+
pipeline_tag: text-to-image
|
9 |
+
library_name: diffusers
|
10 |
+
---
|
11 |
+
|
12 |
+
# CogView4-6B
|
13 |
+
|
14 |
+
<p style="text-align: center;">
|
15 |
+
<div align="center">
|
16 |
+
<img src=https://github.com/THUDM/CogView4/raw/main/resources/logo.svg width="50%"/>
|
17 |
+
</div>
|
18 |
+
<p align="center">
|
19 |
+
<a href="https://huggingface.co/spaces/THUDM-HF-SPACE/CogView4">🤗 Space | </a>
|
20 |
+
<a href="https://github.com/THUDM/CogView4">🌐 Github </a> |
|
21 |
+
<a href="https://arxiv.org/pdf/2403.05121">📜 arxiv </a>
|
22 |
+
</p>
|
23 |
+
|
24 |
+

|
25 |
+
|
26 |
+
## Inference Requirements and Model Introduction
|
27 |
+
|
28 |
+
+ Resolution: Width and height must be between `512px` and `2048px`, divisible by `32`, and ensure the maximum number of pixels does not exceed `2^21` px.
|
29 |
+
+ Precision: BF16 / FP32 (FP16 is not supported as it will cause overflow resulting in completely black images)
|
30 |
+
|
31 |
+
Using `BF16` precision with `batchsize=4` for testing, the memory usage is shown in the table below:
|
32 |
+
|
33 |
+
| Resolution | enable_model_cpu_offload OFF | enable_model_cpu_offload ON | enable_model_cpu_offload ON </br> Text Encoder 4bit |
|
34 |
+
|--------------|------------------------------|-----------------------------|----------------------------------------------------|
|
35 |
+
| 512 * 512 | 33GB | 20GB | 13G |
|
36 |
+
| 1280 * 720 | 35GB | 20GB | 13G |
|
37 |
+
| 1024 * 1024 | 35GB | 20GB | 13G |
|
38 |
+
| 1920 * 1280 | 39GB | 20GB | 14G |
|
39 |
+
| 2048 * 2048 | 43GB | 21GB | 14G |
|
40 |
+
|
41 |
+
## Quick Start
|
42 |
+
|
43 |
+
First, ensure you install the `diffusers` library from source.
|
44 |
+
|
45 |
+
```shell
|
46 |
+
pip install git+https://github.com/huggingface/diffusers.git
|
47 |
+
cd diffusers
|
48 |
+
pip install -e .
|
49 |
+
```
|
50 |
+
|
51 |
+
Then, run the following code:
|
52 |
+
|
53 |
+
```python
|
54 |
+
from diffusers import CogView4Pipeline
|
55 |
+
pipe = CogView4Pipeline.from_pretrained("THUDM/CogView4-6B", torch_dtype=torch.bfloat16)
|
56 |
+
|
57 |
+
# Open it for reduce GPU memory usage
|
58 |
+
pipe.enable_model_cpu_offload()
|
59 |
+
pipe.vae.enable_slicing()
|
60 |
+
pipe.vae.enable_tiling()
|
61 |
+
|
62 |
+
prompt = "A vibrant cherry red sports car sits proudly under the gleaming sun, its polished exterior smooth and flawless, casting a mirror-like reflection. The car features a low, aerodynamic body, angular headlights that gaze forward like predatory eyes, and a set of black, high-gloss racing rims that contrast starkly with the red. A subtle hint of chrome embellishes the grille and exhaust, while the tinted windows suggest a luxurious and private interior. The scene conveys a sense of speed and elegance, the car appearing as if it's about to burst into a sprint along a coastal road, with the ocean's azure waves crashing in the background."
|
63 |
+
image = pipe(
|
64 |
+
prompt=prompt,
|
65 |
+
guidance_scale=3.5,
|
66 |
+
num_images_per_prompt=1,
|
67 |
+
num_inference_steps=50,
|
68 |
+
width=1024,
|
69 |
+
height=1024,
|
70 |
+
).images[0]
|
71 |
+
|
72 |
+
image.save("cogview4.png")
|
73 |
+
```
|
74 |
+
|
75 |
+
## Model Performance
|
76 |
+
|
77 |
+
We've tested on multiple benchmarks and achieved the following scores:
|
78 |
+
|
79 |
+
### dpg_bench
|
80 |
+
|
81 |
+
| model | overall | global | entity | attribute | relation | other |
|
82 |
+
|-------|---------|--------|--------|-----------|----------|-------|
|
83 |
+
| sdxl | 74.65 | 83.27 | 82.43 | 80.91 | 86.76 | 80.41 |
|
84 |
+
| pixart-alpha | 71.11 | 74.97 | 79.32 | 78.60 | 82.57 | 76.96 |
|
85 |
+
| sd3-medium | 84.08 | 87.90 | **91.01** | 88.83 | 80.70 | 88.68 |
|
86 |
+
| dalle-3 | 83.50 | **90.97** | 89.61 | 88.39 | 90.58 | 89.83 |
|
87 |
+
| flux.1-dev | 83.79 | 85.80 | 86.79 | 89.98 | 90.04 | **89.90** |
|
88 |
+
| **cogview4** | **85.13** | 83.85 | 90.35 | **91.17** | **91.14** | 87.29 |
|
89 |
+
|
90 |
+
|
91 |
+
### Geneval
|
92 |
+
|
93 |
+
| model | overall | single | two | counting | colors | position | Color attribution |
|
94 |
+
|-------|---------|--------|-----|----------|--------|----------|------------------|
|
95 |
+
| sdxl | 0.55 | 0.98 | 0.74 | 0.39 | 0.85 | 0.15 | 0.23 |
|
96 |
+
| pixart-alpha | 0.48 | 0.98 | 0.50 | 0.44 | 0.80 | 0.08 | 0.07 |
|
97 |
+
| sd3-meidum | **0.74** | **0.99** | **0.94** | **0.72** | **0.89** | 0.33 | **0.60** |
|
98 |
+
| dall-e 3 | 0.67 | 0.96 | 0.87 | 0.47 | 0.83 | 0.43 | 0.45 |
|
99 |
+
| flux.1-dev | 0.66 | 0.98 | 0.79 | 0.73 | 0.77 | 0.22 | 0.45 |
|
100 |
+
| **cogview4** | 0.73 | **0.99** | 0.86 | 0.66 | 0.79 | **0.48** | 0.58 |
|
101 |
+
|
102 |
+
### t2i_compbench
|
103 |
+
|
104 |
+
| model | color | shape | texture | 2d-spatial | 3d-spatial | numeracy | Non-spatial clip | complex 3-in-1 |
|
105 |
+
|-------|-------|-------|---------|------------|------------|----------|-----------------|---------------|
|
106 |
+
| sdxl | 0.5879 | 0.4687 | 0.5299 | 0.2133 | 0.3566 | 0.4988 | 0.3119 | 0.3237 |
|
107 |
+
| pixart-alpha | 0.6690 | 0.4927 | 0.6477 | 0.2064 | 0.3901 | 0.5058 | **0.3197** | 0.3433 |
|
108 |
+
| sd3-medium | **0.8132** | 0.5885 | **0.7334** | **0.3200** | **0.4084** | 0.6174 | 0.3140 | 0.3771 |
|
109 |
+
| dall-e 3 | 0.7785 | **0.6205** | 0.7036 | 0.2865 | 0.3744 | 0.5880 | 0.3003 | **0.3773** |
|
110 |
+
| flux.1-dev | 0.7572 | 0.5066 | 0.6300 | 0.2700 | 0.3992 | 0.6165 | 0.3065 | 0.3628 |
|
111 |
+
| **cogview4** | 0.7786 | 0.5880 | 0.6983 | 0.3075 | 0.3708 | **0.6626** | 0.3056 | 0.3869 |
|
112 |
+
|
113 |
+
|
114 |
+
## Chinese Text Accuracy Evaluation
|
115 |
+
|
116 |
+
| model | Precision | Recall | F1 Score | pick@4 |
|
117 |
+
|-------|-----------|--------|----------|--------|
|
118 |
+
| kolors | 0.6094 | 0.1886 | 0.2880 | 0.1633 |
|
119 |
+
| **cogview4** | **0.6969** | **0.5532** | **0.6168** | **0.3265** |
|
120 |
+
|
121 |
+
|
122 |
+
## Citation
|
123 |
+
|
124 |
+
🌟 If you find our work helpful, please consider citing our paper and leaving valuable stars
|
125 |
+
|
126 |
+
```
|
127 |
+
@article{zheng2024cogview3,
|
128 |
+
title={Cogview3: Finer and faster text-to-image generation via relay diffusion},
|
129 |
+
author={Zheng, Wendi and Teng, Jiayan and Yang, Zhuoyi and Wang, Weihan and Chen, Jidong and Gu, Xiaotao and Dong, Yuxiao and Ding, Ming and Tang, Jie},
|
130 |
+
journal={arXiv preprint arXiv:2403.05121},
|
131 |
+
year={2024}
|
132 |
+
}
|
133 |
+
```
|
134 |
+
|
135 |
+
## License
|
136 |
+
|
137 |
+
This model is released under the [Apache 2.0 License](LICENSE).
|
model_index.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "CogView4Pipeline",
|
3 |
+
"_diffusers_version": "0.33.0.dev0",
|
4 |
+
"scheduler": [
|
5 |
+
"diffusers",
|
6 |
+
"FlowMatchEulerDiscreteScheduler"
|
7 |
+
],
|
8 |
+
"text_encoder": [
|
9 |
+
"transformers",
|
10 |
+
"GlmModel"
|
11 |
+
],
|
12 |
+
"tokenizer": [
|
13 |
+
"transformers",
|
14 |
+
"PreTrainedTokenizerFast"
|
15 |
+
],
|
16 |
+
"transformer": [
|
17 |
+
"diffusers",
|
18 |
+
"CogView4Transformer2DModel"
|
19 |
+
],
|
20 |
+
"vae": [
|
21 |
+
"diffusers",
|
22 |
+
"AutoencoderKL"
|
23 |
+
]
|
24 |
+
}
|
scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
3 |
+
"_diffusers_version": "0.33.0.dev0",
|
4 |
+
"base_image_seq_len": 256,
|
5 |
+
"base_shift": 0.25,
|
6 |
+
"invert_sigmas": false,
|
7 |
+
"max_image_seq_len": 4096,
|
8 |
+
"max_shift": 0.75,
|
9 |
+
"num_train_timesteps": 1000,
|
10 |
+
"shift": 1.0,
|
11 |
+
"shift_terminal": null,
|
12 |
+
"time_shift_type": "linear",
|
13 |
+
"use_beta_sigmas": false,
|
14 |
+
"use_dynamic_shifting": true,
|
15 |
+
"use_exponential_sigmas": false,
|
16 |
+
"use_karras_sigmas": false
|
17 |
+
}
|
text_encoder/config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/share/home/zyx/Models/glm-4-9b-hf",
|
3 |
+
"architectures": [
|
4 |
+
"GlmModel"
|
5 |
+
],
|
6 |
+
"attention_bias": true,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"eos_token_id": [
|
9 |
+
151329,
|
10 |
+
151336,
|
11 |
+
151338
|
12 |
+
],
|
13 |
+
"head_dim": 128,
|
14 |
+
"hidden_act": "silu",
|
15 |
+
"hidden_size": 4096,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 13696,
|
18 |
+
"max_position_embeddings": 8192,
|
19 |
+
"model_type": "glm",
|
20 |
+
"num_attention_heads": 32,
|
21 |
+
"num_hidden_layers": 40,
|
22 |
+
"num_key_value_heads": 2,
|
23 |
+
"pad_token_id": 151329,
|
24 |
+
"partial_rotary_factor": 0.5,
|
25 |
+
"rms_norm_eps": 1.5625e-07,
|
26 |
+
"rope_theta": 10000.0,
|
27 |
+
"tie_word_embeddings": false,
|
28 |
+
"torch_dtype": "bfloat16",
|
29 |
+
"transformers_version": "4.49.0.dev0",
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 151552
|
32 |
+
}
|
text_encoder/model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:d33a01dba14c62a0d5c471aba9f57902a1d6155080b2cf07e1360b9600fa60a8
|
3 |
+
size 4984132960
|
text_encoder/model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 4895074376
|
text_encoder/model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 4895074392
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text_encoder/model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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|
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size 2784155192
|
text_encoder/model.safetensors.index.json
ADDED
@@ -0,0 +1,449 @@
|
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|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
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|
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vae/config.json
ADDED
@@ -0,0 +1,37 @@
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|
1 |
+
{
|
2 |
+
"_class_name": "AutoencoderKL",
|
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|
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|
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|
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|
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|
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|
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"down_block_types": [
|
12 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
30 |
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|
31 |
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|
32 |
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"UpDecoderBlock2D",
|
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"UpDecoderBlock2D"
|
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|
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|
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|
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vae/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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