text
"Hold your pixels" 🚦... SD3 is here 🌟
"Hold your pixels" 🚦... SD3 is here 🌟
new_line
new_line
text
🚀 Performance Enhancements: Stable Diffusion 3 surpasses other text-to-image models like DALL·E 3 in typography and prompt adherence.
🚀 Performance Enhancements: Stable Diffusion 3 surpasses other text-to-image models like DALL·E 3 in typography and prompt adherence.
new_line
new_line
text
🏗️ New Architecture: Introduces the Multimodal Diffusion Transformer (MMDiT) that separately processes image and language data, enhancing text understanding and spelling.
🏗️ New Architecture: Introduces the Multimodal Diffusion Transformer (MMDiT) that separately processes image and language data, enhancing text understanding and spelling.
new_line
new_line
text
⚡ Efficiency Improvements: Features a rectified flow formulation for more efficient image generation, fitting within the memory constraints of common GPUs.
⚡ Efficiency Improvements: Features a rectified flow formulation for more efficient image generation, fitting within the memory constraints of common GPUs.
new_line
new_line
text
📈 Scalability: Demonstrates scaling capabilities with models ranging up to 8 billion parameters, showing improvements in model performance without saturation.
📈 Scalability: Demonstrates scaling capabilities with models ranging up to 8 billion parameters, showing improvements in model performance without saturation.
new_line
new_line
text
🔧 Flexible Text Encoders: Offers a flexible approach to text encoding, maintaining performance even when the largest T5 text encoder is removed for less memory-intensive operations.
🔧 Flexible Text Encoders: Offers a flexible approach to text encoding, maintaining performance even when the largest T5 text encoder is removed for less memory-intensive operations.
new_line
new_line
text
While they discuss experiments on 2B and 8B parameter models, no word on open weights 🤐
While they discuss experiments on 2B and 8B parameter models, no word on open weights 🤐
new_line
new_line
text
Paper: 
Paper: 
resource
https://huggingface.co/papers/2403.03206
paper
2403.03206
https://huggingface.co/papers/2403.03206
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (2403.03206)
new_line
mention
@StabilityAI
StabilityAI
"Hold your pixels" 🚦... SD3 is here 🌟

🚀 Performance Enhancements: Stable Diffusion 3 surpasses other text-to-image models like DALL·E 3 in typography and prompt adherence.

🏗️ New Architecture: Introduces the Multimodal Diffusion Transformer (MMDiT) that separately processes image and language data, enhancing text understanding and spelling.

⚡ Efficiency Improvements: Features a rectified flow formulation for more efficient image generation, fitting within the memory constraints of common GPUs.

📈 Scalability: Demonstrates scaling capabilities with models ranging up to 8 billion parameters, showing improvements in model performance without saturation.

🔧 Flexible Text Encoders: Offers a flexible approach to text encoding, maintaining performance even when the largest T5 text encoder is removed for less memory-intensive operations.

While they discuss experiments on 2B and 8B parameter models, no word on open weights 🤐

Paper: https://huggingface.co/papers/2403.03206
@StabilityAI
🔥
lunarflu KingNish GPT007