Update README.md

README.md

@@ -7,13 +7,10 @@ language:
 tags:
 - Deci AI
 - DeciDiffusion
-datasets:
-- laion/laion-art
-- laion/laion2B-en
 ---
 # DeciDiffusion 2.0
 
-DeciDiffusion 2.0 is a 732 million parameter text-to-image latent diffusion model trained on the LAION-v2 dataset and fine-tuned on the LAION-ART dataset. Advanced training techniques were used to speed up training, improve training performance, and achieve better inference quality. 
+DeciDiffusion 2.0 is a 732 million parameter text-to-image latent diffusion model. Advanced training techniques were used to speed up training, improve training performance, and achieve better inference quality. 
 
 ## Model Details
 
@@ -40,10 +37,10 @@ DeciDiffusion 2.0, a state-of-the-art diffusion-based text-to-image generation m
 
 The model was trained in 4 phases: 
 
-- **Phase 1:** Trained from scratch 1.28 million steps at resolution 256x256 on a 270 million sample subset of LAION-v2. 
+- **Phase 1:** Trained from scratch 1.28 million steps at resolution 256x256. 
 - **Phase 2:** Trained from 870k steps at resolution 512x512 on the same dataset to learn more fine-detailed information.
 - **Phase 3:** Trained 65k steps with EMA, another learning rate scheduler, and more "qualitative" data.
-- **Phase 4:** Fine-tuning on a 2M sample subset of LAION-ART.
+- **Phase 4:** Fine-tuning on a 2M sample dataset.
 
 ### Training Techniques