mlsanityData to 14 Oct 2026

Squeezing Large-Scale Diffusion Models for Mobile

arXiv 2307.01193 ↗First posted 3 Jul 2023cs.LG cs.AIcited by 11

On the map: Diffusion models → Diffusion foundations and sampling

Abstract (arXiv)

The emergence of diffusion models has greatly broadened the scope of high-fidelity image synthesis, resulting in notable advancements in both practical implementation and academic research. With the active adoption of the model in various real-world applications, the need for on-device deployment has grown considerably. However, deploying large diffusion models such as Stable Diffusion with more than one billion parameters to mobile devices poses distinctive challenges due to the limited computational and memory resources, which may vary according to the device. In this paper, we present the challenges and solutions for deploying Stable Diffusion on mobile devices with TensorFlow Lite framework, which supports both iOS and Android devices. The resulting Mobile Stable Diffusion achieves the inference latency of smaller than 7 seconds for a 512x512 image generation on Android devices with mobile GPUs.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Placed in Diffusion foundations and sampling, one of 14 directions in Diffusion models. Builds on 20 of its 23 references that are in the map. First posted on arXiv 3 Jul 2023.

Builds on

20 of 23 references.

Closest ancestors · 6

Same direction, newest first

  1. 2023Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations21 Apr
  2. 2022On Distillation of Guided Diffusion Models6 Oct
  3. 2022Classifier-Free Diffusion Guidance26 Jul
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Models20 Dec
  5. 2020Denoising Diffusion Implicit Models6 Oct
  6. 2020Denoising Diffusion Probabilistic Models19 Jun

Other references · 14

  1. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  2. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,614
  3. 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,476
  4. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,430
  5. 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 927
  6. 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Modelscited by 599
  7. 2021BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstructioncited by 479
  8. 2021SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Modelscited by 415
  9. 2023VideoFusion: Decomposed Diffusion Models for High-Quality Video Generationcited by 331
  10. 2022Diffsound: Discrete Diffusion Model for Text-to-sound Generationcited by 257
  11. 2023Implicit Diffusion Models for Continuous Super-Resolutioncited by 218
  12. 2022QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantizationcited by 180
2 more
  1. 2023Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wildcited by 46
  2. 2023A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Modelscited by 37

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 5; 2025: 4.

11 papers.

  1. 2023MobileDiffusion: Instant Text-to-Image Generation on Mobile Devicescited by 42
  2. 2024Bigger is not Always Better: Scaling Properties of Latent Diffusion Modelscited by 21
  3. 2023Clockwork Diffusion: Efficient Generation With Model-Step Distillationcited by 18
  4. 2024Mobile Video Diffusioncited by 18
  5. 2025On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devicescited by 15
  6. 2024EdgeFusion: On-Device Text-to-Image Generationcited by 12
  7. 2025SD3.5-Flash: Distribution-Guided Distillation of Generative Flowscited by 11
  8. 2024MoViE: Mobile Diffusion for Video Editingcited by 6
  9. 2025Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tilingcited by 2
  10. 2024LatentCRF: Continuous CRF for Efficient Latent Diffusioncited by 0
  11. 2025On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devicescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
  2. 2026ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices
  3. 2026SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices
  4. 2025MobileI2V: Fast and High-Resolution Image-to-Video on Mobile Devices
  5. 2024Open-Source Acceleration of Stable-Diffusion.cpp Deployable on All Devices
  6. 2024SparseDM: Toward Sparse Efficient Diffusion Models
  7. 2025Taming Diffusion Transformer for Efficient Mobile Video Generation in Seconds
  8. 2023A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions