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huggingface · Jan 31, 2025 · 76fe5b4 · 76fe5b4
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@@ -35,15 +35,15 @@ and forward for what’s to come in 2025 (spoiler 👀: we’re starting a new m
 What were the standout releases of creative AI tools in 2024? We'll highlight the major releases across creative and 
 artistic fields, with a particular focus on open-source developments in popular tasks like image and video generation. 
 
-<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/ai_art_newsletter_1/timeline_2.png" width="424" height="auto" alt="2024 highlights">
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/ai_art_newsletter_1/timeline_2.png" width="700" height="auto" alt="2024 highlights">
 
 ## Image Generation
 
 Over 2 years since the OG stable diffusion was released and made waves in image generation with open source models, it’s now safe to say that when it comes to image generation from text, image editing and controlled image generation - open source models are giving closed source models a run for their money.   
 <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/ai_art_newsletter_1/finger_meme.png" width="424" height="auto" alt="2024 highlights">
 
 ### Text-to-image generation
-<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/ai_art_newsletter_1/flux_grid.png" width="424" height="auto" alt="2024 highlights">
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/ai_art_newsletter_1/flux_grid.png" width="600" height="auto" alt="flux">
 2024 was the year we shifted paradigms of diffusion models - from the traditional Unet based architecture to Diffusion Transformer (DiT), as well as an objective switch to flow matching. 
 
 **TD;LR** - diffusion models and **Gaussian** flow matching are equivalent. Flow matching proposes a vector field parametrization of the network output that is different compared to the ones commonly used in diffusion models previously.