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@@ -36,9 +36,9 @@ As a result, Sana-0.6B is very competitive with modern giant diffusion model (e.
 
 ## 🔥🔥 News
 
+- (🔥 New) \[2024/11/30\] All multi-linguistic (Emoji & Chinese & English) SFT models are released: [1.6B-512px](https://huggingface.co/Efficient-Large-Model/Sana_1600M_512px_MultiLing), [1.6B-1024px](https://huggingface.co/Efficient-Large-Model/Sana_1600M_1024px_MultiLing), [600M-512px](https://huggingface.co/Efficient-Large-Model/Sana_600M_512px), [600M-1024px](https://huggingface.co/Efficient-Large-Model/Sana_600M_1024px). The metric performance is shown [here](#performance)
 - (🔥 New) \[2024/11/27\] Sana Replicate API is launching at [Sana-API](https://replicate.com/chenxwh/sana).
 - (🔥 New) \[2024/11/27\] Sana code-base license changed to Apache 2.0.
-- (🔥 New) \[2024/11/26\] 1.6B [Sana multi-linguistic models](https://huggingface.co/Efficient-Large-Model/Sana_1600M_512px_MultiLing) are released. Multi-language(Emoji & Chinese & English) are supported.
 - (🔥 New) \[2024/11\] 1.6B [Sana models](https://huggingface.co/collections/Efficient-Large-Model/sana-673efba2a57ed99843f11f9e) are released.
 - (🔥 New) \[2024/11\] Training & Inference & Metrics code are released.
 - (🔥 New) \[2024/11\] Working on [`diffusers`](https://github.com/huggingface/diffusers/pull/9982).
@@ -48,11 +48,13 @@ As a result, Sana-0.6B is very competitive with modern giant diffusion model (e.
 
 ## Performance
 
-| Methods (1024x1024)                      | Throughput (samples/s) | Latency (s) | Params (B) | Speedup   | FID 👆      | CLIP 👆      | GenEval 👆  | DPG 👆      |
-|------------------------------|------------------------|-------------|------------|-----------|-------------|--------------|-------------|-------------|
-| FLUX-dev                     | 0.04                   | 23.0        | 12.0       | 1.0×      | 10.15       | 27.47        | _0.67_      | _84.0_      |
-| **Sana-0.6B**                | 1.7                    | 0.9         | 0.6        | **39.5×** | <u>5.81</u> | 28.36        | 0.64        | 83.6        |
-| **Sana-1.6B**                | 1.0                    | 1.2         | 1.6        | **23.3×** | **5.76**    | <u>28.67</u> | <u>0.66</u> | **84.8**    |
+| Methods (1024x1024)                                                                                 | Throughput (samples/s) | Latency (s) | Params (B) | Speedup | FID 👇      | CLIP 👆      | GenEval 👆  | DPG 👆      |
+|-----------------------------------------------------------------------------------------------------|------------------------|-------------|------------|---------|-------------|--------------|-------------|-------------|
+| FLUX-dev                                                                                            | 0.04                   | 23.0        | 12.0       | 1.0×    | 10.15       | 27.47        | _0.67_      | 84.0        |
+| **Sana-0.6B**                                                                                       | 1.7                    | 0.9         | 0.6        | 39.5×   | _5.81_      | 28.36        | 0.64        | 83.6        |
+| **[Sana-0.6B-MultiLing](https://huggingface.co/Efficient-Large-Model/Sana_600M_1024px)**            | 1.7                    | 0.9         | 0.6        | 39.5×   | **5.61**    | <u>28.80</u> | <u>0.68</u> | _84.2_      |
+| **Sana-1.6B**                                                                                       | 1.0                    | 1.2         | 1.6        | 23.3×   | <u>5.76</u> | _28.67_      | 0.66        | **84.8**    |
+| **[Sana-1.6B-MultiLing](https://huggingface.co/Efficient-Large-Model/Sana_1600M_1024px_MultiLing)** | 1.0                    | 1.2         | 1.6        | 23.3×   | 5.92        | **28.94**    | **0.69**    | <u>84.5</u> |
 
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