add basic models

README.md

@@ -1,3 +1,52 @@
 ---
 license: apache-2.0
+language:
+- en
+tags:
+- Diffusion Transformer
+- Image Editing
+- Scepter
+- ACE
 ---
+<h2 align="center">
+    ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
+</h2>
+
+<h3 align="center">
+    <b>Tongyi Lab, Alibaba Group</b>
+</h3>
+
+<div align="center">
+
+[**Paper**](https://arxiv.org/abs/2410.00086) **|** [**Project Page**](https://ali-vilab.github.io/ace-page/) **|** [**Code**](https://github.com/ali-vilab/ACE)
+
+</div>
+
+
+ACE is a unified foundational model framework that supports a wide range of visual generation tasks. 
+By defining CU for unifying multi-modal inputs across different tasks and incorporating long-context CU, 
+we introduce historical contextual information into visual generation tasks, paving
+the way for ChatGPT-like dialog systems in visual generation.
+
+<p>
+  <table align="center">
+    <tr>
+    <td>
+      <img src="assets/figures/teaser.png">
+    </td>
+    </tr>
+  </table>
+</p>
+
+
+
+## BibTeX
+
+```bibtex
+@article{han2024ace,
+  title={ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer},
+  author={Han, Zhen and Jiang, Zeyinzi and Pan, Yulin and Zhang, Jingfeng and Mao, Chaojie and Xie, Chenwei and Liu, Yu and Zhou, Jingren},
+  journal={arXiv preprint arXiv:2410.00086},
+  year={2024}
+}
+```

models/text_encoder/t5-v1_1-xxl/config.json

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+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
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+  "d_kv": 64,
+  "d_model": 4096,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 64,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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