HiDream-I1-Dev
#4
by
YanShu
- opened
- README.md +0 -3
- model_index.json +1 -1
- scheduler/scheduler_config.json +3 -16
- text_encoder/config.json +1 -1
- transformer/config.json +1 -1
README.md
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@@ -15,9 +15,6 @@ library_name: diffusers
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<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>
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## Project Updates
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- 🚀 **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)!.
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## Key Features
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- ✨ **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.
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- 🎯 **Best-in-Class Prompt Following** - Achieves industry-leading scores on GenEval and DPG benchmarks, outperforming all other open-source models.
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<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>
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## Key Features
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- ✨ **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.
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- 🎯 **Best-in-Class Prompt Following** - Achieves industry-leading scores on GenEval and DPG benchmarks, outperforming all other open-source models.
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model_index.json
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"_diffusers_version": "0.32.1",
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"scheduler": [
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"diffusers",
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"
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],
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"text_encoder": [
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"transformers",
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"_diffusers_version": "0.32.1",
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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scheduler/scheduler_config.json
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{
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"_class_name": "
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"_diffusers_version": "0.
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"base_image_seq_len": 256,
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"base_shift": 0.5,
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"invert_sigmas": false,
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"max_image_seq_len": 4096,
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"max_shift": 1.15,
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"num_train_timesteps": 1000,
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"
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"shift": 6.0,
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"shift_terminal": null,
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"time_shift_type": "exponential",
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"upscale_mode": "bicubic",
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"use_beta_sigmas": false,
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"use_dynamic_shifting": false,
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"use_exponential_sigmas": false,
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"use_karras_sigmas": false
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}
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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"_diffusers_version": "0.29.0.dev0",
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"num_train_timesteps": 1000,
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"shift": 3.0
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}
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text_encoder/config.json
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{
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"architectures": [
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"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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{
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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transformer/config.json
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{
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"_class_name": "
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"_diffusers_version": "0.32.1",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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{
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"_class_name": "HiImageTransformer2DModel",
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"_diffusers_version": "0.32.1",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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