Alternatives and similar repositories for Hybrid-SD:

Users that are interested in Hybrid-SD are comparing it to the libraries listed below

• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆96Updated last year
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆33Updated 3 months ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆58Updated 9 months ago
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆38Updated 6 months ago
• Lucky-Lance / TerDiT
  TerDiT: Ternary Diffusion Models with Transformers
  ☆68Updated 8 months ago
• hatchetProject / QuEST
  QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆41Updated last month
• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆132Updated last year
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆94Updated 7 months ago
• TencentARC / FluxKits
  ☆77Updated 3 months ago
• thu-nics / DiTFastAttn
  ☆149Updated last month
• AMD-AIG-AIMA / AMD-Diffusion-Distillation
  Re-implementation of Adversarial Diffusion Distillation by AMD
  ☆66Updated 2 months ago
• maple-research-lab / SIM
  Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]
  ☆78Updated 3 months ago
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…
  ☆62Updated 7 months ago
• AdaCache-DiT / AdaCache
  Adaptive Caching for Faster Video Generation with Diffusion Transformers
  ☆143Updated 4 months ago
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆85Updated last month
• lilijiangg / AutoDiffusion
  ☆45Updated 11 months ago
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆38Updated 8 months ago
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆57Updated 2 weeks ago
• A-suozhang / ViDiT-Q
  ☆13Updated 2 weeks ago
• ruiqixu37 / distill_diffusion
  Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models
  ☆45Updated last year
• yandex-research / vqdm
  Official repository for VQDM:Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization paper
  ☆32Updated 5 months ago
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆182Updated 8 months ago
• xdit-project / DistVAE
  A parallelism VAE avoids OOM for high resolution image generation
  ☆54Updated last month
• A-suozhang / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆11Updated 3 months ago
• Shenyi-Z / ToCa
  Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆96Updated this week
• madebyollin / seraena
  WIP Pytorch code for stably training single-step, mode-dropping, deterministic autoencoders
  ☆25Updated 10 months ago
• jinqixiao / ComCAT
  ☆15Updated last year