Who should use Diffusion Attentive Attribution Maps?

Diffusion Attentive Attribution Maps is a consumer product built for AI researchers.

Is Diffusion Attentive Attribution Maps free?

Yes — Diffusion Attentive Attribution Maps is free to use.

What platforms does Diffusion Attentive Attribution Maps run on?

Diffusion Attentive Attribution Maps runs on the web. It can also be self-hosted.

Is Diffusion Attentive Attribution Maps still maintained?

Unverified. Diffusion Attentive Attribution Maps has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to Diffusion Attentive Attribution Maps?

Similar projects tracked by PulseGate include Mixture Of Diffusers, SwarmUI, and DGS Diffusion Space.

Who makes Diffusion Attentive Attribution Maps?

Diffusion Attentive Attribution Maps is developed by tetrisd.

How long has Diffusion Attentive Attribution Maps been around?

Diffusion Attentive Attribution Maps first shipped in 2023.

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Diffusion Attentive Attribution Maps

Name: Diffusion Attentive Attribution Maps
Author: tetrisd

huggingface.coImage generation

This Hugging Face Space demonstrates attentive attribution maps for Stable Diffusion v2.1. It helps users see how different parts of the text prompt influence different regions of the generated image, aiding in prompt engineering and model understanding.

FreeWebSelf-hosted

Diffusion Attentive Attribution Maps preview

Visit huggingface.co

Overview

2 features

In the Image generation space, Diffusion Attentive Attribution Maps takes a focused approach. It focuses on understanding which parts of an input prompt the diffusion model focuses on when generating images. It is built as a consumer product for AI researchers. It is available for free. It ships for the web, and it can be self-hosted.

tetrisd builds and maintains Diffusion Attentive Attribution Maps, and it first shipped in 2023.

Summary written by a language model from the project’s public pages.

Attention Visualization
Model Interpretability

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hosted

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed4 Aug · 20:18 UTC
tetrisd/Diffusion-Attentive-Attribution-Maps verified against its public source
Source: PulseGate · Open

Frequently asked questions about Diffusion Attentive Attribution Maps

What does Diffusion Attentive Attribution Maps do?: Diffusion Attentive Attribution Maps focuses on understanding which parts of an input prompt the diffusion model focuses on when generating images. It is catalogued under Image generation on PulseGate.
Who should use Diffusion Attentive Attribution Maps?: Diffusion Attentive Attribution Maps is a consumer product built for AI researchers.
Is Diffusion Attentive Attribution Maps free?: Yes — Diffusion Attentive Attribution Maps is free to use.
What platforms does Diffusion Attentive Attribution Maps run on?: Diffusion Attentive Attribution Maps runs on the web. It can also be self-hosted.
Is Diffusion Attentive Attribution Maps still maintained?: Unverified. Diffusion Attentive Attribution Maps has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Diffusion Attentive Attribution Maps?: Similar projects tracked by PulseGate include Mixture Of Diffusers, SwarmUI, and DGS Diffusion Space.Mixture Of Diffusers SwarmUI DGS Diffusion Space
Who makes Diffusion Attentive Attribution Maps?: Diffusion Attentive Attribution Maps is developed by tetrisd.
How long has Diffusion Attentive Attribution Maps been around?: Diffusion Attentive Attribution Maps first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: AI researchers
Model: B2C
Solves: Understanding which parts of an input prompt the diffusion model focuses on when generating images.

Registered as

Hugging Face Spaces: tetrisd/Diffusion-Attentive-Attribution-Maps

Developer

tetrisd

Live coverage

Identity confidence: Medium · 84
Indexed: 4 Aug 2026
Lifecycle: Alive
Last seen: 4 Aug 2026

Identity audit (13)

Slug: tetrisd-diffusion-attentive-attribution-maps-huggingface-co
Lifecycle state recorded: 4 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 4 Aug 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 4 Aug 2026
Canonical URL: https://huggingface.co/spaces/tetrisd/Diffusion-Attentive-Attribution-Maps

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