text-to-img-gen-by-maryem

README.md

@@ -15,11 +15,6 @@ library_name: diffusers
 
 <span style="color: #FF5733; font-weight: bold">For more features and to experience the full capabilities of our product, please visit [https://vivago.ai/](https://vivago.ai/).</span>
 
-## Project Updates
-- 🌟 **July 16, 2025**: We've open-sourced the updated image editing model [**HiDream-E1.1**](https://huggingface.co/HiDream-ai/HiDream-E1-1). 
-- 📝 **May 28, 2025**: We've released our technical report [HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer](https://arxiv.org/abs/2505.22705).
-- 🚀 **April 28, 2025**: We've open-sourced the instruction-based-image-editing model [**HiDream-E1-Full**](https://github.com/HiDream-ai/HiDream-E1). Experience at [https://huggingface.co/spaces/HiDream-ai/HiDream-E1-Full](https://huggingface.co/spaces/HiDream-ai/HiDream-E1-Full)!.
-
 ## Key Features
 - ✨ **Superior Image Quality** - Produces exceptional results across multiple styles including photorealistic, cartoon, artistic, and more. Achieves state-of-the-art HPS v2.1 score, which aligns with human preferences.
 - 🎯 **Best-in-Class Prompt Following** - Achieves industry-leading scores on GenEval and DPG benchmarks, outperforming all other open-source models.
@@ -107,16 +102,4 @@ The Transformer models in this repository are licensed under the MIT License. Th
 
 ## Acknowledgements
 - The VAE component is from `FLUX.1 [schnell]`, licensed under Apache 2.0. 
-- The text encoders are from `google/t5-v1_1-xxl` (licensed under Apache 2.0) and `meta-llama/Meta-Llama-3.1-8B-Instruct` (licensed under the Llama 3.1 Community License Agreement).
-
-
-## Citation
-
-```bibtex
-@article{hidreami1technicalreport,
-  title={HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer},
-  author={Cai, Qi and Chen, Jingwen and Chen, Yang and Li, Yehao and Long, Fuchen and Pan, Yingwei and Qiu, Zhaofan and Zhang, Yiheng and Gao, Fengbin and Xu, Peihan and others},
-  journal={arXiv preprint arXiv:2505.22705},
-  year={2025}
-}
-```
+- The text encoders are from `google/t5-v1_1-xxl` (licensed under Apache 2.0) and `meta-llama/Meta-Llama-3.1-8B-Instruct` (licensed under the Llama 3.1 Community License Agreement).

transformer/config.json

@@ -1,5 +1,5 @@
 {
-  "_class_name": "HiDreamImageTransformer2DModel",
+  "_class_name": "HiImageTransformer2DModel",
   "_diffusers_version": "0.32.1",
   "attention_head_dim": 128,
   "axes_dims_rope": [