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stable-diffusion-3-medium-diffusers

Stability AIhuggingface.co/stabilityai/stable-diffusion-3-me

Open in Graph
data quality50

Updated 12 h ago · first seen 11 Sept 2026

model_01M295054HWJW0ZSMGSJEP882J

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Architecture

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    Unavailable

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

No capability flags have been observed from a source yet — we do not infer them.

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit1.7 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit1.7 GB est.Yes
Apple M2 Ultra4bit1.7 GB est.Yes
Apple M1 Ultra4bit1.7 GB est.Yes
Apple M3 Max4bit1.7 GB est.Yes
Apple M4 Max4bit1.7 GB est.Yes
Mac Studio (Apple M5 Max)4bit1.7 GB est.Yes
MacBook Pro (Apple M5 Max)4bit1.7 GB est.Yes
Apple M2 Max4bit1.7 GB est.Yes
Apple M1 Max4bit1.7 GB est.Yes
Apple M4 Pro4bit1.7 GB est.Yes
Mac mini (Apple M5 Pro)4bit1.7 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit1.7 GB est.Yes
Apple M3 Pro4bit1.7 GB est.Yes
Apple M1 Pro4bit1.7 GB est.Yes
Apple M2 Pro4bit1.7 GB est.Yes
Apple M44bit1.7 GB est.Yes
iMac (Apple M4)4bit1.7 GB est.Yes
Mac mini (Apple M6)4bit1.7 GB est.Yes
MacBook Air (Apple M5)4bit1.7 GB est.Yes
MacBook Pro (Apple M5)4bit1.7 GB est.Yes
Apple M24bit1.7 GB est.Yes
Apple M34bit1.7 GB est.Yes
Apple M14bit1.7 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB1.7 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB1.7 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB1.7 GB est.Yes
NVIDIA A100 80GB4bit80 GB1.7 GB est.Yes
NVIDIA H100 SXM4bit80 GB1.7 GB est.Yes
NVIDIA H100 NVL4bit94 GB1.7 GB est.Yes
NVIDIA DGX Spark4bit128 GB1.7 GB est.Yes
NVIDIA H2004bit141 GB1.7 GB est.Yes
NVIDIA H200 NVL4bit141 GB1.7 GB est.Yes
NVIDIA B2004bit180 GB1.7 GB est.Yes
AMD Instinct MI300X4bit192 GB1.7 GB est.Yes
AMD Instinct MI325X4bit256 GB1.7 GB est.Yes
NVIDIA DGX B2004bit1,440 GB1.7 GB est.Yes
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Papers1

Change history19

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

stable-diffusion-3-medium-diffusers was not yet in AI Atlas on 1 Jan 2025

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
19 claims · 19 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
12 Jun 2024currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

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ValueValid from → toStatusSourceConfidenceExtractor
restrictedcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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ValueValid from → toStatusSourceConfidenceExtractor
othercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
2.08BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Languageslanguages1

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ValueValid from → toStatusSourceConfidenceExtractor
encurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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ValueValid from → toStatusSourceConfidenceExtractor
4.2 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
stabilityai/stable-diffusion-3-medium-diffuserscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-to-imagecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffuserscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
59,735currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
473currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
autocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

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ValueValid from → toStatusSourceConfidenceExtractor
hf-inferencecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2024-06-19T13:47:26+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
diffuserscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

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ValueValid from → toStatusSourceConfidenceExtractor
LICENSEcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
4,236,117currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
diffusers, safetensors, text-to-image, stable-diffusion, encurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
F16currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

19

Source tiers

T219

Freshest observation

12 h ago

Conflicts

None

Source documents 2

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers model_pageT2· Quality secondary12 h ago2
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=stabilityai&p=0&sort=downloads listingT2· Quality secondary13 h ago3

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →