Datasets:
model_id stringlengths 22 43 | downloads int64 27.6k 120M | likes int64 2 14.1k | license stringclasses 4
values | task stringclasses 1
value | tier stringclasses 3
values |
|---|---|---|---|---|---|
stabilityai/stable-diffusion-xl-base-1.0 | 120,000,000 | 8,039 | openrail++ | text-to-image | Tier 1 |
stable-diffusion-v1-5/stable-diffusion-v1-5 | 75,100,000 | 1,235 | creativeml-openrail-m | text-to-image | Tier 1 |
CompVis/stable-diffusion-v1-4 | 53,400,000 | 7,052 | creativeml-openrail-m | text-to-image | Tier 1 |
black-forest-labs/FLUX.1-dev | 32,600,000 | 14,116 | other | text-to-image | Tier 1 |
stabilityai/sdxl-turbo | 31,200,000 | 2,617 | other | text-to-image | Tier 1 |
black-forest-labs/FLUX.1-schnell | 21,900,000 | 5,529 | apache-2.0 | text-to-image | Tier 1 |
ByteDance/SDXL-Lightning | 5,400,000 | 2,177 | openrail++ | text-to-image | Tier 1 |
stablediffusionapi/juggernaut-reborn | 848,000 | 3 | creativeml-openrail-m | text-to-image | Tier 2 |
CompVis/stable-diffusion-v1-1 | 519,700 | 82 | creativeml-openrail-m | text-to-image | Tier 2 |
stablediffusionapi/revanimated | 313,200 | 2 | creativeml-openrail-m | text-to-image | Tier 2 |
sd2-community/stable-diffusion-2-1 | 122,300 | 34 | openrail++ | text-to-image | Tier 2 |
CompVis/stable-diffusion-v1-3 | 69,100 | 39 | creativeml-openrail-m | text-to-image | Tier 3 |
stablediffusionapi/chilloutmix | 60,400 | 9 | creativeml-openrail-m | text-to-image | Tier 3 |
stablediffusionapi/dreamshaper-xl | 27,600 | 3 | creativeml-openrail-m | text-to-image | Tier 3 |
Curated Image Generation Model Registry
A curated registry of the most widely adopted open-source text-to-image (image generation) models published on the Hugging Face Hub, together with key adoption metrics (downloads, likes, license, task) and an internal tier classification used by the AI Platform team to help product teams select the right model for their projects.
File(s)
model_registry.csv— one row per model, with the columns described below.
Column definitions
| Column | Type | Description |
|---|---|---|
model_id |
string | Unique identifier of the model on the Hub (namespace/name). |
downloads |
integer | Total number of downloads reported by the Hub at collection time. |
likes |
integer | Number of likes on the model page. |
license |
string | License identifier declared in the model card metadata. |
task |
string | Model task type on the Hub (e.g., text-to-image). |
tier |
string | Adoption tier derived from downloads (see tier rules below). |
Tier classification rules
Each model is classified into exactly one tier based on its download count:
| Tier | Condition |
|---|---|
| Tier 1 (Enterprise) | downloads >= 1,000,000 |
| Tier 2 (Standard) | downloads >= 100,000 |
| Tier 3 (Community) | all remaining models |
Contents
The registry currently includes 14 models spanning the Stable Diffusion family (SD v1.x, SD 2.1, SDXL, SDXL-Turbo, SDXL-Lightning), the FLUX family (FLUX.1-dev, FLUX.1-schnell), and widely adopted community checkpoints (Juggernaut, Realistic Vision / ReV Animated, ChilloutMix, DreamShaper XL), covering a range of adoption levels from enterprise-scale (tens of millions of downloads) to community-scale.
Data provenance
All adoption metrics (download counts, like counts, license identifiers, task types) were collected from the live model hub at publication time. Values are snapshots and will drift as models accumulate downloads over time.
Maintenance
This registry is curated by the AI Platform team. To add or update models, re-collect the metrics from
the Hub, re-apply the tier rules above, and re-publish model_registry.csv.
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