xlite-dev / flux-fasterLinks
A forked version of flux-fast that makes flux-fast even faster with cache-dit, 3.3x speedup on NVIDIA L20.
☆24Updated 5 months ago
Alternatives and similar repositories for flux-faster
Users that are interested in flux-faster are comparing it to the libraries listed below
Sorting:
- (WIP) Parallel inference for black-forest-labs' FLUX model.☆18Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆84Updated 5 months ago
- Code for Draft Attention☆98Updated 7 months ago
- [WIP] Better (FP8) attention for Hopper☆32Updated 10 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Updated last year
- ☆189Updated 11 months ago
- High performance inference engine for diffusion models☆102Updated 4 months ago
- Making Flux go brrr on GPUs.☆159Updated last week
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆46Updated 5 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆46Updated last month
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated last year
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆54Updated 3 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆93Updated 11 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆163Updated last year
- Writing FLUX in Triton☆41Updated last year
- ☆79Updated last year
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Updated last year
- An out-of-the-box inference acceleration engine for Diffusion and DiT models☆60Updated 9 months ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 10 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Updated last year
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆211Updated 3 months ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆233Updated 2 weeks ago
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆99Updated 4 months ago
- Fast and memory-efficient exact kmeans☆133Updated 2 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆145Updated 9 months ago
- flex-block-attn: an efficient block sparse attention computation library☆103Updated 2 weeks ago
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆52Updated 2 months ago
- Combining Teacache with xDiT to Accelerate Visual Generation Models☆32Updated 8 months ago
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆51Updated last year
- To pioneer training long-context multi-modal transformer models☆66Updated 5 months ago