add models
Browse files- README.md +105 -3
- image_encoder/config.json +179 -0
- image_encoder/preprocessor_config.json +19 -0
- image_encoder/pytorch_model.bin +3 -0
- model_index.json +41 -0
- scheduler/scheduler_config.json +21 -0
- text_encoder/config.json +33 -0
- text_encoder/model.safetensors +3 -0
- text_encoder_2/config.json +32 -0
- text_encoder_2/model-00001-of-00002.safetensors +3 -0
- text_encoder_2/model-00002-of-00002.safetensors +3 -0
- text_encoder_2/model.safetensors.index.json +226 -0
- tokenizer/special_tokens_map.json +37 -0
- tokenizer/tokenizer_config.json +57 -0
- tokenizer/vocab.txt +0 -0
- tokenizer_2/special_tokens_map.json +23 -0
- tokenizer_2/spiece.model +3 -0
- tokenizer_2/tokenizer_config.json +39 -0
- transformer/config.json +30 -0
- transformer/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +41 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
CHANGED
@@ -1,3 +1,105 @@
|
|
1 |
-
---
|
2 |
-
license:
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
license_name: tencent-hunyuan-community
|
4 |
+
license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt
|
5 |
+
language:
|
6 |
+
- en
|
7 |
+
---
|
8 |
+
<!-- ## **HunyuanDiT** -->
|
9 |
+
|
10 |
+
<p align="center">
|
11 |
+
<img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/logo.png" height=100>
|
12 |
+
</p>
|
13 |
+
|
14 |
+
# Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
|
15 |
+
# 混元-DiT: 具有细粒度中文理解的多分辨率Diffusion Transformer
|
16 |
+
|
17 |
+
[[Arxiv]](https://arxiv.org/abs/2405.08748) [[project page]](https://dit.hunyuan.tencent.com/) [[github]](https://github.com/Tencent/HunyuanDiT)
|
18 |
+
|
19 |
+
This repo contains the pre-trained text-to-image model in 🤗 [Diffusers](https://github.com/huggingface/diffusers) format.
|
20 |
+
|
21 |
+
## Dependency
|
22 |
+
Please install PyTorch first, following the instruction in [https://pytorch.org](https://pytorch.org)
|
23 |
+
|
24 |
+
Install the latest version of transformers with `pip`:
|
25 |
+
```
|
26 |
+
pip install --upgrade transformers
|
27 |
+
```
|
28 |
+
|
29 |
+
Then install the latest github version of 🤗 Diffusers with `pip`:
|
30 |
+
```
|
31 |
+
pip install git+https://github.com/huggingface/diffusers.git
|
32 |
+
```
|
33 |
+
|
34 |
+
## Example Usage with 🤗 Diffusers
|
35 |
+
```py
|
36 |
+
import torch
|
37 |
+
from diffusers import HunyuanDiTPipeline
|
38 |
+
|
39 |
+
pipe = HunyuanDiTPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-Diffusers", torch_dtype=torch.float16)
|
40 |
+
pipe.to("cuda")
|
41 |
+
|
42 |
+
# You may also use English prompt as HunyuanDiT supports both English and Chinese
|
43 |
+
# prompt = "An astronaut riding a horse"
|
44 |
+
prompt = "一个宇航员在骑马"
|
45 |
+
image = pipe(prompt).images[0]
|
46 |
+
```
|
47 |
+
|
48 |
+
![image/png](https://cdn-uploads.huggingface.co/production/uploads/646b0bbdec9a61e871799339/xoO_-5N7eZ-aCt4KpBYY6.png)
|
49 |
+
|
50 |
+
## 📈 Comparisons
|
51 |
+
In order to comprehensively compare the generation capabilities of HunyuanDiT and other models, we constructed a 4-dimensional test set, including Text-Image Consistency, Excluding AI Artifacts, Subject Clarity, Aesthetic. More than 50 professional evaluators performs the evaluation.
|
52 |
+
|
53 |
+
<p align="center">
|
54 |
+
<table>
|
55 |
+
<thead>
|
56 |
+
<tr>
|
57 |
+
<th rowspan="2">Model</th> <th rowspan="2">Open Source</th> <th>Text-Image Consistency (%)</th> <th>Excluding AI Artifacts (%)</th> <th>Subject Clarity (%)</th> <th rowspan="2">Aesthetics (%)</th> <th rowspan="2">Overall (%)</th>
|
58 |
+
</tr>
|
59 |
+
</thead>
|
60 |
+
<tbody>
|
61 |
+
<tr>
|
62 |
+
<td>SDXL</td> <td> ✔ </td> <td>64.3</td> <td>60.6</td> <td>91.1</td> <td>76.3</td> <td>42.7</td>
|
63 |
+
</tr>
|
64 |
+
<tr>
|
65 |
+
<td>PixArt-α</td> <td> ✔</td> <td>68.3</td> <td>60.9</td> <td>93.2</td> <td>77.5</td> <td>45.5</td>
|
66 |
+
</tr>
|
67 |
+
<tr>
|
68 |
+
<td>Playground 2.5</td> <td>✔</td> <td>71.9</td> <td>70.8</td> <td>94.9</td> <td>83.3</td> <td>54.3</td>
|
69 |
+
</tr>
|
70 |
+
|
71 |
+
<tr>
|
72 |
+
<td>SD 3</td> <td>✘</td> <td>77.1</td> <td>69.3</td> <td>94.6</td> <td>82.5</td> <td>56.7</td>
|
73 |
+
|
74 |
+
</tr>
|
75 |
+
<tr>
|
76 |
+
<td>MidJourney v6</td><td>✘</td> <td>73.5</td> <td>80.2</td> <td>93.5</td> <td>87.2</td> <td>63.3</td>
|
77 |
+
</tr>
|
78 |
+
<tr>
|
79 |
+
<td>DALL-E 3</td><td>✘</td> <td>83.9</td> <td>80.3</td> <td>96.5</td> <td>89.4</td> <td>71.0</td>
|
80 |
+
</tr>
|
81 |
+
<tr style="font-weight: bold; background-color: #f2f2f2;">
|
82 |
+
<td>Hunyuan-DiT</td><td>✔</td> <td>74.2</td> <td>74.3</td> <td>95.4</td> <td>86.6</td> <td>59.0</td>
|
83 |
+
</tr>
|
84 |
+
</tbody>
|
85 |
+
</table>
|
86 |
+
</p>
|
87 |
+
|
88 |
+
## 🎥 Visualization
|
89 |
+
|
90 |
+
* **Chinese Elements**
|
91 |
+
<p align="center">
|
92 |
+
<img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/chinese elements understanding.png" height=220>
|
93 |
+
</p>
|
94 |
+
|
95 |
+
* **Long Text Input**
|
96 |
+
|
97 |
+
|
98 |
+
<p align="center">
|
99 |
+
<img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/long text understanding.png" height=310>
|
100 |
+
</p>
|
101 |
+
|
102 |
+
|
103 |
+
## 🔥🔥🔥 Tencent Hunyuan Bot
|
104 |
+
|
105 |
+
Welcome to [Tencent Hunyuan Bot](https://hunyuan.tencent.com/bot/chat), where you can explore our innovative products in multi-round conversation!
|
image_encoder/config.json
ADDED
@@ -0,0 +1,179 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/clip-vit-large-patch14-336",
|
3 |
+
"architectures": [
|
4 |
+
"CLIPModel"
|
5 |
+
],
|
6 |
+
"initializer_factor": 1.0,
|
7 |
+
"logit_scale_init_value": 2.6592,
|
8 |
+
"model_type": "clip",
|
9 |
+
"projection_dim": 768,
|
10 |
+
"text_config": {
|
11 |
+
"_name_or_path": "",
|
12 |
+
"add_cross_attention": false,
|
13 |
+
"architectures": null,
|
14 |
+
"attention_dropout": 0.0,
|
15 |
+
"bad_words_ids": null,
|
16 |
+
"bos_token_id": 0,
|
17 |
+
"chunk_size_feed_forward": 0,
|
18 |
+
"cross_attention_hidden_size": null,
|
19 |
+
"decoder_start_token_id": null,
|
20 |
+
"diversity_penalty": 0.0,
|
21 |
+
"do_sample": false,
|
22 |
+
"dropout": 0.0,
|
23 |
+
"early_stopping": false,
|
24 |
+
"encoder_no_repeat_ngram_size": 0,
|
25 |
+
"eos_token_id": 2,
|
26 |
+
"exponential_decay_length_penalty": null,
|
27 |
+
"finetuning_task": null,
|
28 |
+
"forced_bos_token_id": null,
|
29 |
+
"forced_eos_token_id": null,
|
30 |
+
"hidden_act": "quick_gelu",
|
31 |
+
"hidden_size": 768,
|
32 |
+
"id2label": {
|
33 |
+
"0": "LABEL_0",
|
34 |
+
"1": "LABEL_1"
|
35 |
+
},
|
36 |
+
"initializer_factor": 1.0,
|
37 |
+
"initializer_range": 0.02,
|
38 |
+
"intermediate_size": 3072,
|
39 |
+
"is_decoder": false,
|
40 |
+
"is_encoder_decoder": false,
|
41 |
+
"label2id": {
|
42 |
+
"LABEL_0": 0,
|
43 |
+
"LABEL_1": 1
|
44 |
+
},
|
45 |
+
"layer_norm_eps": 1e-05,
|
46 |
+
"length_penalty": 1.0,
|
47 |
+
"max_length": 20,
|
48 |
+
"max_position_embeddings": 77,
|
49 |
+
"min_length": 0,
|
50 |
+
"model_type": "clip_text_model",
|
51 |
+
"no_repeat_ngram_size": 0,
|
52 |
+
"num_attention_heads": 12,
|
53 |
+
"num_beam_groups": 1,
|
54 |
+
"num_beams": 1,
|
55 |
+
"num_hidden_layers": 12,
|
56 |
+
"num_return_sequences": 1,
|
57 |
+
"output_attentions": false,
|
58 |
+
"output_hidden_states": false,
|
59 |
+
"output_scores": false,
|
60 |
+
"pad_token_id": 1,
|
61 |
+
"prefix": null,
|
62 |
+
"problem_type": null,
|
63 |
+
"projection_dim": 768,
|
64 |
+
"pruned_heads": {},
|
65 |
+
"remove_invalid_values": false,
|
66 |
+
"repetition_penalty": 1.0,
|
67 |
+
"return_dict": true,
|
68 |
+
"return_dict_in_generate": false,
|
69 |
+
"sep_token_id": null,
|
70 |
+
"task_specific_params": null,
|
71 |
+
"temperature": 1.0,
|
72 |
+
"tf_legacy_loss": false,
|
73 |
+
"tie_encoder_decoder": false,
|
74 |
+
"tie_word_embeddings": true,
|
75 |
+
"tokenizer_class": null,
|
76 |
+
"top_k": 50,
|
77 |
+
"top_p": 1.0,
|
78 |
+
"torch_dtype": null,
|
79 |
+
"torchscript": false,
|
80 |
+
"transformers_version": "4.21.3",
|
81 |
+
"typical_p": 1.0,
|
82 |
+
"use_bfloat16": false,
|
83 |
+
"vocab_size": 49408
|
84 |
+
},
|
85 |
+
"text_config_dict": {
|
86 |
+
"hidden_size": 768,
|
87 |
+
"intermediate_size": 3072,
|
88 |
+
"num_attention_heads": 12,
|
89 |
+
"num_hidden_layers": 12,
|
90 |
+
"projection_dim": 768
|
91 |
+
},
|
92 |
+
"torch_dtype": "float32",
|
93 |
+
"transformers_version": null,
|
94 |
+
"vision_config": {
|
95 |
+
"_name_or_path": "",
|
96 |
+
"add_cross_attention": false,
|
97 |
+
"architectures": null,
|
98 |
+
"attention_dropout": 0.0,
|
99 |
+
"bad_words_ids": null,
|
100 |
+
"bos_token_id": null,
|
101 |
+
"chunk_size_feed_forward": 0,
|
102 |
+
"cross_attention_hidden_size": null,
|
103 |
+
"decoder_start_token_id": null,
|
104 |
+
"diversity_penalty": 0.0,
|
105 |
+
"do_sample": false,
|
106 |
+
"dropout": 0.0,
|
107 |
+
"early_stopping": false,
|
108 |
+
"encoder_no_repeat_ngram_size": 0,
|
109 |
+
"eos_token_id": null,
|
110 |
+
"exponential_decay_length_penalty": null,
|
111 |
+
"finetuning_task": null,
|
112 |
+
"forced_bos_token_id": null,
|
113 |
+
"forced_eos_token_id": null,
|
114 |
+
"hidden_act": "quick_gelu",
|
115 |
+
"hidden_size": 1024,
|
116 |
+
"id2label": {
|
117 |
+
"0": "LABEL_0",
|
118 |
+
"1": "LABEL_1"
|
119 |
+
},
|
120 |
+
"image_size": 336,
|
121 |
+
"initializer_factor": 1.0,
|
122 |
+
"initializer_range": 0.02,
|
123 |
+
"intermediate_size": 4096,
|
124 |
+
"is_decoder": false,
|
125 |
+
"is_encoder_decoder": false,
|
126 |
+
"label2id": {
|
127 |
+
"LABEL_0": 0,
|
128 |
+
"LABEL_1": 1
|
129 |
+
},
|
130 |
+
"layer_norm_eps": 1e-05,
|
131 |
+
"length_penalty": 1.0,
|
132 |
+
"max_length": 20,
|
133 |
+
"min_length": 0,
|
134 |
+
"model_type": "clip_vision_model",
|
135 |
+
"no_repeat_ngram_size": 0,
|
136 |
+
"num_attention_heads": 16,
|
137 |
+
"num_beam_groups": 1,
|
138 |
+
"num_beams": 1,
|
139 |
+
"num_channels": 3,
|
140 |
+
"num_hidden_layers": 24,
|
141 |
+
"num_return_sequences": 1,
|
142 |
+
"output_attentions": false,
|
143 |
+
"output_hidden_states": false,
|
144 |
+
"output_scores": false,
|
145 |
+
"pad_token_id": null,
|
146 |
+
"patch_size": 14,
|
147 |
+
"prefix": null,
|
148 |
+
"problem_type": null,
|
149 |
+
"projection_dim": 768,
|
150 |
+
"pruned_heads": {},
|
151 |
+
"remove_invalid_values": false,
|
152 |
+
"repetition_penalty": 1.0,
|
153 |
+
"return_dict": true,
|
154 |
+
"return_dict_in_generate": false,
|
155 |
+
"sep_token_id": null,
|
156 |
+
"task_specific_params": null,
|
157 |
+
"temperature": 1.0,
|
158 |
+
"tf_legacy_loss": false,
|
159 |
+
"tie_encoder_decoder": false,
|
160 |
+
"tie_word_embeddings": true,
|
161 |
+
"tokenizer_class": null,
|
162 |
+
"top_k": 50,
|
163 |
+
"top_p": 1.0,
|
164 |
+
"torch_dtype": null,
|
165 |
+
"torchscript": false,
|
166 |
+
"transformers_version": "4.21.3",
|
167 |
+
"typical_p": 1.0,
|
168 |
+
"use_bfloat16": false
|
169 |
+
},
|
170 |
+
"vision_config_dict": {
|
171 |
+
"hidden_size": 1024,
|
172 |
+
"image_size": 336,
|
173 |
+
"intermediate_size": 4096,
|
174 |
+
"num_attention_heads": 16,
|
175 |
+
"num_hidden_layers": 24,
|
176 |
+
"patch_size": 14,
|
177 |
+
"projection_dim": 768
|
178 |
+
}
|
179 |
+
}
|
image_encoder/preprocessor_config.json
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"crop_size": 336,
|
3 |
+
"do_center_crop": true,
|
4 |
+
"do_normalize": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"feature_extractor_type": "CLIPFeatureExtractor",
|
7 |
+
"image_mean": [
|
8 |
+
0.48145466,
|
9 |
+
0.4578275,
|
10 |
+
0.40821073
|
11 |
+
],
|
12 |
+
"image_std": [
|
13 |
+
0.26862954,
|
14 |
+
0.26130258,
|
15 |
+
0.27577711
|
16 |
+
],
|
17 |
+
"resample": 3,
|
18 |
+
"size": 336
|
19 |
+
}
|
image_encoder/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6032c2e0caae3dc2d4fba35535fa6307dbb49df59c7e182b1bc4b3329b81801
|
3 |
+
size 1711974081
|
model_index.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "HunyuanDiTPipeline",
|
3 |
+
"_diffusers_version": "0.29.0.dev0",
|
4 |
+
"feature_extractor": [
|
5 |
+
null,
|
6 |
+
null
|
7 |
+
],
|
8 |
+
"requires_safety_checker": true,
|
9 |
+
"safety_checker": [
|
10 |
+
null,
|
11 |
+
null
|
12 |
+
],
|
13 |
+
"scheduler": [
|
14 |
+
"diffusers",
|
15 |
+
"DDPMScheduler"
|
16 |
+
],
|
17 |
+
"text_encoder": [
|
18 |
+
"transformers",
|
19 |
+
"BertModel"
|
20 |
+
],
|
21 |
+
"text_encoder_2": [
|
22 |
+
"transformers",
|
23 |
+
"T5EncoderModel"
|
24 |
+
],
|
25 |
+
"tokenizer": [
|
26 |
+
"transformers",
|
27 |
+
"BertTokenizer"
|
28 |
+
],
|
29 |
+
"tokenizer_2": [
|
30 |
+
"transformers",
|
31 |
+
"T5Tokenizer"
|
32 |
+
],
|
33 |
+
"transformer": [
|
34 |
+
"diffusers",
|
35 |
+
"HunyuanDiT2DModel"
|
36 |
+
],
|
37 |
+
"vae": [
|
38 |
+
"diffusers",
|
39 |
+
"AutoencoderKL"
|
40 |
+
]
|
41 |
+
}
|
scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "DDPMScheduler",
|
3 |
+
"_diffusers_version": "0.29.0.dev0",
|
4 |
+
"beta_end": 0.03,
|
5 |
+
"beta_schedule": "scaled_linear",
|
6 |
+
"beta_start": 0.00085,
|
7 |
+
"clip_sample": false,
|
8 |
+
"clip_sample_range": 1.0,
|
9 |
+
"dynamic_thresholding_ratio": 0.995,
|
10 |
+
"num_train_timesteps": 1000,
|
11 |
+
"prediction_type": "v_prediction",
|
12 |
+
"rescale_betas_zero_snr": false,
|
13 |
+
"sample_max_value": 1.0,
|
14 |
+
"set_alpha_to_one": false,
|
15 |
+
"skip_prk_steps": true,
|
16 |
+
"steps_offset": 1,
|
17 |
+
"thresholding": false,
|
18 |
+
"timestep_spacing": "leading",
|
19 |
+
"trained_betas": null,
|
20 |
+
"variance_type": "fixed_small"
|
21 |
+
}
|
text_encoder/config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"BertModel"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"bos_token_id": 0,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"directionality": "bidi",
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 1024,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 4096,
|
15 |
+
"layer_norm_eps": 1e-12,
|
16 |
+
"max_position_embeddings": 512,
|
17 |
+
"model_type": "bert",
|
18 |
+
"num_attention_heads": 16,
|
19 |
+
"num_hidden_layers": 24,
|
20 |
+
"output_past": true,
|
21 |
+
"pad_token_id": 0,
|
22 |
+
"pooler_fc_size": 768,
|
23 |
+
"pooler_num_attention_heads": 12,
|
24 |
+
"pooler_num_fc_layers": 3,
|
25 |
+
"pooler_size_per_head": 128,
|
26 |
+
"pooler_type": "first_token_transform",
|
27 |
+
"position_embedding_type": "absolute",
|
28 |
+
"torch_dtype": "float32",
|
29 |
+
"transformers_version": "4.41.1",
|
30 |
+
"type_vocab_size": 2,
|
31 |
+
"use_cache": true,
|
32 |
+
"vocab_size": 47020
|
33 |
+
}
|
text_encoder/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6c6348af2cb4d5852fe51102ce39605903dbe7925c005cf8995506cc21ea914
|
3 |
+
size 1408188288
|
text_encoder_2/config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"T5EncoderModel"
|
4 |
+
],
|
5 |
+
"classifier_dropout": 0.0,
|
6 |
+
"d_ff": 5120,
|
7 |
+
"d_kv": 64,
|
8 |
+
"d_model": 2048,
|
9 |
+
"decoder_start_token_id": 0,
|
10 |
+
"dense_act_fn": "gelu_new",
|
11 |
+
"dropout_rate": 0.1,
|
12 |
+
"eos_token_id": 1,
|
13 |
+
"feed_forward_proj": "gated-gelu",
|
14 |
+
"initializer_factor": 1.0,
|
15 |
+
"is_encoder_decoder": true,
|
16 |
+
"is_gated_act": true,
|
17 |
+
"layer_norm_epsilon": 1e-06,
|
18 |
+
"model_type": "t5",
|
19 |
+
"num_decoder_layers": 24,
|
20 |
+
"num_heads": 32,
|
21 |
+
"num_layers": 24,
|
22 |
+
"output_past": true,
|
23 |
+
"pad_token_id": 0,
|
24 |
+
"relative_attention_max_distance": 128,
|
25 |
+
"relative_attention_num_buckets": 32,
|
26 |
+
"tie_word_embeddings": false,
|
27 |
+
"tokenizer_class": "T5Tokenizer",
|
28 |
+
"torch_dtype": "float32",
|
29 |
+
"transformers_version": "4.41.1",
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 250112
|
32 |
+
}
|
text_encoder_2/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c0c539ab8e8fba3877cc94bc483e427f74c525f817a809b028ebc8d96d75a94
|
3 |
+
size 4993585936
|
text_encoder_2/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3b49976cb1fe40da28a600d783f4686024c97eb01f224c54305cce55ddcd8a5e
|
3 |
+
size 1686275552
|
text_encoder_2/model.safetensors.index.json
ADDED
@@ -0,0 +1,226 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 6679834624
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"encoder.block.0.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
7 |
+
"encoder.block.0.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"encoder.block.0.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"encoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"encoder.block.0.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"encoder.block.0.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"encoder.block.0.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"encoder.block.0.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"encoder.block.0.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"encoder.block.0.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"encoder.block.1.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"encoder.block.1.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"encoder.block.1.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"encoder.block.1.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"encoder.block.1.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"encoder.block.1.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"encoder.block.1.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"encoder.block.1.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"encoder.block.1.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"encoder.block.10.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"encoder.block.10.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"encoder.block.10.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"encoder.block.10.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"encoder.block.10.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"encoder.block.10.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"encoder.block.10.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"encoder.block.10.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"encoder.block.10.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"encoder.block.11.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"encoder.block.11.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"encoder.block.11.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"encoder.block.11.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"encoder.block.11.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"encoder.block.11.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"encoder.block.11.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"encoder.block.11.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"encoder.block.11.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"encoder.block.12.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"encoder.block.12.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"encoder.block.12.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"encoder.block.12.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"encoder.block.12.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"encoder.block.12.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"encoder.block.12.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"encoder.block.12.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"encoder.block.12.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"encoder.block.13.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"encoder.block.13.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"encoder.block.13.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"encoder.block.13.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"encoder.block.13.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"encoder.block.13.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"encoder.block.13.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"encoder.block.13.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"encoder.block.13.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"encoder.block.14.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"encoder.block.14.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"encoder.block.14.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"encoder.block.14.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"encoder.block.14.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"encoder.block.14.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"encoder.block.14.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"encoder.block.14.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"encoder.block.14.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"encoder.block.15.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"encoder.block.15.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
72 |
+
"encoder.block.15.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"encoder.block.15.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"encoder.block.15.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
75 |
+
"encoder.block.15.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
76 |
+
"encoder.block.15.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
77 |
+
"encoder.block.15.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
78 |
+
"encoder.block.15.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
79 |
+
"encoder.block.16.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
80 |
+
"encoder.block.16.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
81 |
+
"encoder.block.16.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
82 |
+
"encoder.block.16.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
83 |
+
"encoder.block.16.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
84 |
+
"encoder.block.16.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
85 |
+
"encoder.block.16.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
86 |
+
"encoder.block.16.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
87 |
+
"encoder.block.16.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
88 |
+
"encoder.block.17.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
89 |
+
"encoder.block.17.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
90 |
+
"encoder.block.17.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
91 |
+
"encoder.block.17.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
92 |
+
"encoder.block.17.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
93 |
+
"encoder.block.17.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
94 |
+
"encoder.block.17.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
95 |
+
"encoder.block.17.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
96 |
+
"encoder.block.17.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
97 |
+
"encoder.block.18.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
98 |
+
"encoder.block.18.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
99 |
+
"encoder.block.18.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
100 |
+
"encoder.block.18.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
101 |
+
"encoder.block.18.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
102 |
+
"encoder.block.18.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
103 |
+
"encoder.block.18.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
104 |
+
"encoder.block.18.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
105 |
+
"encoder.block.18.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
106 |
+
"encoder.block.19.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
107 |
+
"encoder.block.19.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
108 |
+
"encoder.block.19.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
109 |
+
"encoder.block.19.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
110 |
+
"encoder.block.19.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
111 |
+
"encoder.block.19.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
112 |
+
"encoder.block.19.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
113 |
+
"encoder.block.19.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
114 |
+
"encoder.block.19.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
115 |
+
"encoder.block.2.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"encoder.block.2.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"encoder.block.2.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
118 |
+
"encoder.block.2.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"encoder.block.2.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
120 |
+
"encoder.block.2.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
121 |
+
"encoder.block.2.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"encoder.block.2.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"encoder.block.2.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
124 |
+
"encoder.block.20.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
125 |
+
"encoder.block.20.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
126 |
+
"encoder.block.20.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
127 |
+
"encoder.block.20.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
128 |
+
"encoder.block.20.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
129 |
+
"encoder.block.20.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
130 |
+
"encoder.block.20.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
131 |
+
"encoder.block.20.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
132 |
+
"encoder.block.20.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
133 |
+
"encoder.block.21.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
134 |
+
"encoder.block.21.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
135 |
+
"encoder.block.21.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
136 |
+
"encoder.block.21.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
137 |
+
"encoder.block.21.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
138 |
+
"encoder.block.21.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
139 |
+
"encoder.block.21.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
140 |
+
"encoder.block.21.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
141 |
+
"encoder.block.21.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
142 |
+
"encoder.block.22.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
143 |
+
"encoder.block.22.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
144 |
+
"encoder.block.22.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
145 |
+
"encoder.block.22.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
146 |
+
"encoder.block.22.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
147 |
+
"encoder.block.22.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
148 |
+
"encoder.block.22.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
149 |
+
"encoder.block.22.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
150 |
+
"encoder.block.22.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
151 |
+
"encoder.block.23.layer.0.SelfAttention.k.weight": "model-00002-of-00002.safetensors",
|
152 |
+
"encoder.block.23.layer.0.SelfAttention.o.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"encoder.block.23.layer.0.SelfAttention.q.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"encoder.block.23.layer.0.SelfAttention.v.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"encoder.block.23.layer.0.layer_norm.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"encoder.block.23.layer.1.DenseReluDense.wi_0.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"encoder.block.23.layer.1.DenseReluDense.wi_1.weight": "model-00002-of-00002.safetensors",
|
158 |
+
"encoder.block.23.layer.1.DenseReluDense.wo.weight": "model-00002-of-00002.safetensors",
|
159 |
+
"encoder.block.23.layer.1.layer_norm.weight": "model-00002-of-00002.safetensors",
|
160 |
+
"encoder.block.3.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"encoder.block.3.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
162 |
+
"encoder.block.3.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"encoder.block.3.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
164 |
+
"encoder.block.3.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"encoder.block.3.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"encoder.block.3.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"encoder.block.3.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"encoder.block.3.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"encoder.block.4.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"encoder.block.4.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"encoder.block.4.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"encoder.block.4.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"encoder.block.4.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"encoder.block.4.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"encoder.block.4.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"encoder.block.4.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"encoder.block.4.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"encoder.block.5.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"encoder.block.5.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"encoder.block.5.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"encoder.block.5.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"encoder.block.5.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"encoder.block.5.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"encoder.block.5.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"encoder.block.5.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"encoder.block.5.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"encoder.block.6.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"encoder.block.6.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"encoder.block.6.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"encoder.block.6.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"encoder.block.6.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"encoder.block.6.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"encoder.block.6.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"encoder.block.6.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"encoder.block.6.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"encoder.block.7.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"encoder.block.7.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"encoder.block.7.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"encoder.block.7.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"encoder.block.7.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
201 |
+
"encoder.block.7.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
202 |
+
"encoder.block.7.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
203 |
+
"encoder.block.7.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
204 |
+
"encoder.block.7.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
205 |
+
"encoder.block.8.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
206 |
+
"encoder.block.8.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
207 |
+
"encoder.block.8.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
208 |
+
"encoder.block.8.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
209 |
+
"encoder.block.8.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
210 |
+
"encoder.block.8.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
211 |
+
"encoder.block.8.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
212 |
+
"encoder.block.8.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
213 |
+
"encoder.block.8.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
214 |
+
"encoder.block.9.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
215 |
+
"encoder.block.9.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
216 |
+
"encoder.block.9.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
217 |
+
"encoder.block.9.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
218 |
+
"encoder.block.9.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
|
219 |
+
"encoder.block.9.layer.1.DenseReluDense.wi_0.weight": "model-00001-of-00002.safetensors",
|
220 |
+
"encoder.block.9.layer.1.DenseReluDense.wi_1.weight": "model-00001-of-00002.safetensors",
|
221 |
+
"encoder.block.9.layer.1.DenseReluDense.wo.weight": "model-00001-of-00002.safetensors",
|
222 |
+
"encoder.block.9.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
|
223 |
+
"encoder.final_layer_norm.weight": "model-00002-of-00002.safetensors",
|
224 |
+
"shared.weight": "model-00001-of-00002.safetensors"
|
225 |
+
}
|
226 |
+
}
|
tokenizer/special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"mask_token": {
|
10 |
+
"content": "[MASK]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"sep_token": {
|
24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": true,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"model_max_length": 77,
|
50 |
+
"never_split": null,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"strip_accents": null,
|
54 |
+
"tokenize_chinese_chars": true,
|
55 |
+
"tokenizer_class": "BertTokenizer",
|
56 |
+
"unk_token": "[UNK]"
|
57 |
+
}
|
tokenizer/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_2/special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"eos_token": {
|
3 |
+
"content": "</s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"pad_token": {
|
10 |
+
"content": "<pad>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer_2/spiece.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
|
3 |
+
size 4309802
|
tokenizer_2/tokenizer_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": true,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<pad>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "<unk>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"additional_special_tokens": [],
|
30 |
+
"clean_up_tokenization_spaces": true,
|
31 |
+
"eos_token": "</s>",
|
32 |
+
"extra_ids": 0,
|
33 |
+
"legacy": true,
|
34 |
+
"model_max_length": 1000000000000000019884624838656,
|
35 |
+
"pad_token": "<pad>",
|
36 |
+
"sp_model_kwargs": {},
|
37 |
+
"tokenizer_class": "T5Tokenizer",
|
38 |
+
"unk_token": "<unk>"
|
39 |
+
}
|
transformer/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "HunyuanTransformer3DModel",
|
3 |
+
"_diffusers_version": "0.28.2",
|
4 |
+
"activation_fn": "gelu-approximate",
|
5 |
+
"after_norm": false,
|
6 |
+
"attention_head_dim": 88,
|
7 |
+
"basic_block_type": "basic",
|
8 |
+
"cross_attention_dim": 1024,
|
9 |
+
"cross_attention_dim_t5": 2048,
|
10 |
+
"hidden_size": 1408,
|
11 |
+
"in_channels": 12,
|
12 |
+
"learn_sigma": true,
|
13 |
+
"mlp_ratio": 4.3637,
|
14 |
+
"motion_module_kwargs": null,
|
15 |
+
"motion_module_kwargs_even": null,
|
16 |
+
"motion_module_kwargs_odd": null,
|
17 |
+
"motion_module_type": "VanillaGrid",
|
18 |
+
"n_query": 16,
|
19 |
+
"norm_type": "layer_norm",
|
20 |
+
"num_attention_heads": 16,
|
21 |
+
"num_layers": 40,
|
22 |
+
"out_channels": 8,
|
23 |
+
"patch_size": 2,
|
24 |
+
"pooled_projection_dim": 1024,
|
25 |
+
"projection_dim": 1024,
|
26 |
+
"sample_size": 128,
|
27 |
+
"text_len": 77,
|
28 |
+
"text_len_t5": 256,
|
29 |
+
"time_position_encoding": true
|
30 |
+
}
|
transformer/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1fe59d82cc504dd66184295aa9edd1d29cf925f1bda6e669ab5e8d12ccaa6af8
|
3 |
+
size 3966032600
|
vae/config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "AutoencoderKL",
|
3 |
+
"_diffusers_version": "0.22.0.dev0",
|
4 |
+
"act_fn": "silu",
|
5 |
+
"block_out_channels": [
|
6 |
+
128,
|
7 |
+
256,
|
8 |
+
512,
|
9 |
+
512
|
10 |
+
],
|
11 |
+
"down_block_types": [
|
12 |
+
"SpatialDownBlock3D",
|
13 |
+
"SpatialTemporalDownBlock3D",
|
14 |
+
"SpatialTemporalDownBlock3D",
|
15 |
+
"SpatialTemporalDownBlock3D"
|
16 |
+
],
|
17 |
+
"force_upcast": true,
|
18 |
+
"in_channels": 3,
|
19 |
+
"latent_channels": 4,
|
20 |
+
"layers_per_block": 2,
|
21 |
+
"norm_num_groups": 32,
|
22 |
+
"out_channels": 3,
|
23 |
+
"sample_size": 256,
|
24 |
+
"scaling_factor": 0.18215,
|
25 |
+
"slice_mag_vae": false,
|
26 |
+
"slice_compression_vae": false,
|
27 |
+
"cache_compression_vae": true,
|
28 |
+
"use_tiling": false,
|
29 |
+
"use_tiling_encoder": false,
|
30 |
+
"use_tiling_decoder": true,
|
31 |
+
"mid_block_attention_type": "3d",
|
32 |
+
"tile_sample_min_size": 384,
|
33 |
+
"mini_batch_encoder": 8,
|
34 |
+
"mini_batch_decoder": 2,
|
35 |
+
"up_block_types": [
|
36 |
+
"SpatialUpBlock3D",
|
37 |
+
"SpatialTemporalUpBlock3D",
|
38 |
+
"SpatialTemporalUpBlock3D",
|
39 |
+
"SpatialTemporalUpBlock3D"
|
40 |
+
]
|
41 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c268389b15ee74a8c7c46512e57057e6106c9acb36865e54464061cc395022a7
|
3 |
+
size 1053887572
|