# Diffusion model Projects at AI Tinkerers

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> Markdown URL: https://aitinkerers.org/technologies/diffusion-model.md
> Technology record last updated: 2026-03-08T02:40:38Z
> Generated: 2026-09-21T17:37:37Z

Diffusion models are generative AI systems that synthesize high-fidelity data (images, audio, video) by reversing a process of iterative noise corruption.

This technology operates through a fixed forward process that systematically adds Gaussian noise to training data, then learns to reverse it: the denoising diffusion probabilistic model (DDPM). This iterative noise-removal process allows the model to generate entirely new, high-quality samples from pure noise. Key industry models like Stability AI’s Stable Diffusion and OpenAI’s DALL-E 2 leverage this architecture for state-of-the-art text-to-image generation, inpainting, and super-resolution tasks. The core strength lies in their stable training and superior output quality compared to older generative models (e.g., GANs).

- Official technology site: https://huggingface.co/docs/diffusers
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [x2 faster diffusion model in 3 lines of code](https://paris.aitinkerers.org/talks/rsvp_gDKrDrEbvwU)

In a few lines of code, pruna enables you to compress any text to image GenAI model. We will show how we can easily generate an image, and how we can speedup this generation without any quality loss.

- Event context: AI Tinkerers - Paris Meetup on January 30th — 2025-01-30 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_gDKrDrEbvwU

### [Diffusion based Interior Customisation for VR Home Tours](https://mumbai.aitinkerers.org/talks/rsvp_mcNaq7cpLUQ)

This project uses a Flux1.dev diffusion model to customise the look of an apartment in a VR Home Tour. The user can pick a style of their choice (Modern, Minimalist, Boho, etc) and the apartment will be styled to match the user's preferences while maintaining the same structure and dimensions. The approach uses Controlnets and LoRAs to create conditioning based on the original apartment layout and then styles the image based on a prompt.

- Event context: AI Tinkerers Mumbai Chapter - 2nd Event Incoming! — 2024-11-23 — Mumbai
- Public talk page: https://mumbai.aitinkerers.org/talks/rsvp_mcNaq7cpLUQ

### [Virtual avatar generation models as world navigators](https://sf.aitinkerers.org/talks/rsvp_VKgGo_Qx060)

A novel video model capable of simulating human movement within a given environment by assuming the parameters of a virtual avatar.

- Event context: AI Tinkerers - San Francisco - Summer Edition - July 2024 — 2024-07-12 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_VKgGo_Qx060

## Related Technologies

- [Autodesk MotionBuilder](https://aitinkerers.org/technologies/autodesk-motionbuilder) ([Markdown](https://aitinkerers.org/technologies/autodesk-motionbuilder.md)) — 1 public demo
- [Avatar Generation](https://aitinkerers.org/technologies/avatar-generation) ([Markdown](https://aitinkerers.org/technologies/avatar-generation.md)) — 1 public demo
- [ControlNet](https://aitinkerers.org/technologies/controlnet) ([Markdown](https://aitinkerers.org/technologies/controlnet.md)) — 6 public demos
- [DALL-E 2](https://aitinkerers.org/technologies/dall-e-2) ([Markdown](https://aitinkerers.org/technologies/dall-e-2.md)) — 7 public demos
- [DALL-E 3](https://aitinkerers.org/technologies/dall-e-3) ([Markdown](https://aitinkerers.org/technologies/dall-e-3.md)) — 12 public demos
- [Flux1](https://aitinkerers.org/technologies/flux1) ([Markdown](https://aitinkerers.org/technologies/flux1.md)) — 2 public demos
- [Generative AI](https://aitinkerers.org/technologies/generative-ai) ([Markdown](https://aitinkerers.org/technologies/generative-ai.md)) — 45 public demos
- [GLIDE](https://aitinkerers.org/technologies/glide) ([Markdown](https://aitinkerers.org/technologies/glide.md)) — 2 public demos
- [Imagen](https://aitinkerers.org/technologies/imagen) ([Markdown](https://aitinkerers.org/technologies/imagen.md)) — 10 public demos
- [Intel RealSense](https://aitinkerers.org/technologies/intel-realsense) ([Markdown](https://aitinkerers.org/technologies/intel-realsense.md)) — 1 public demo
- [LoRA](https://aitinkerers.org/technologies/lora) ([Markdown](https://aitinkerers.org/technologies/lora.md)) — 17 public demos
- [MediaPipe](https://aitinkerers.org/technologies/mediapipe) ([Markdown](https://aitinkerers.org/technologies/mediapipe.md)) — 7 public demos
- [Microsoft Kinect](https://aitinkerers.org/technologies/microsoft-kinect) ([Markdown](https://aitinkerers.org/technologies/microsoft-kinect.md)) — 1 public demo
- [Midjourney](https://aitinkerers.org/technologies/midjourney) ([Markdown](https://aitinkerers.org/technologies/midjourney.md)) — 14 public demos
- [OpenPose](https://aitinkerers.org/technologies/openpose) ([Markdown](https://aitinkerers.org/technologies/openpose.md)) — 1 public demo
- [OptiTrack](https://aitinkerers.org/technologies/optitrack) ([Markdown](https://aitinkerers.org/technologies/optitrack.md)) — 1 public demo
- [Pruna](https://aitinkerers.org/technologies/pruna) ([Markdown](https://aitinkerers.org/technologies/pruna.md)) — 1 public demo
- [Stable Diffusion](https://aitinkerers.org/technologies/stable-diffusion) ([Markdown](https://aitinkerers.org/technologies/stable-diffusion.md)) — 32 public demos