Gemma 4 QAT Collection Gemma 4 QAT (Quantization-Aware Training) for 3x less memory use and near original accuracy. • 16 items • Updated 14 days ago • 95
VINS-120K: Ultra High-Resolution Image Editing with A Large-Scale Dataset Paper • 2605.23518 • Published May 22 • 8
view article Article Fine-tune FLUX.2 [klein] with a LoRA under 60 minutes black-forest-labs • 25 days ago • 25
Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models Paper • 2605.21573 • Published May 20 • 111
view article Article MONET: Lowering the Barrier to World Class Image Generation Research jasperai • May 28 • 10
Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Paper • 2506.01331 • Published Jun 2, 2025 • 2
PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion Paper • 2605.23902 • Published May 22 • 46
SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers Paper • 2605.22668 • Published May 21 • 40
PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset Paper • 2605.20147 • Published May 19 • 11
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training Paper • 2506.05301 • Published Jun 5, 2025 • 62
RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details Paper • 2604.06870 • Published Apr 8 • 44
TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders Paper • 2604.07340 • Published Apr 8 • 18