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facebookresearch
tuna-2
Python2026–2026
facebookresearch / tuna-2

tuna-2

Official implementation of Tuna-2: Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation

3Distinct people
3Mentions
0Explicit recommenders
763GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Official implementation of Tuna-2: Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day3 dated mentions

Observed mentions: 2026-04-28 18:47:16 UTC to 2026-05-12 03:40:55 UTC.

012026-04-28 00:00:00 UTC to 2026-04-29 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 282026-04-29 00:00:00 UTC to 2026-04-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-30 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-05-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-02 00:00:00 UTC to 2026-05-03 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-05-03 00:00:00 UTC to 2026-05-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-04 00:00:00 UTC to 2026-05-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-05 00:00:00 UTC to 2026-05-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 52026-05-06 00:00:00 UTC to 2026-05-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-07 00:00:00 UTC to 2026-05-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-08 00:00:00 UTC to 2026-05-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-09 00:00:00 UTC to 2026-05-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-10 00:00:00 UTC to 2026-05-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-11 00:00:00 UTC to 2026-05-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-12 00:00:00 UTC to 2026-05-13 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 12

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 282026-04-28 00:00:00 UTC2026-04-29 00:00:00 UTC101
Apr 292026-04-29 00:00:00 UTC2026-04-30 00:00:00 UTC000
Apr 302026-04-30 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 12026-05-01 00:00:00 UTC2026-05-02 00:00:00 UTC000
May 22026-05-02 00:00:00 UTC2026-05-03 00:00:00 UTC110
May 32026-05-03 00:00:00 UTC2026-05-04 00:00:00 UTC000
May 42026-05-04 00:00:00 UTC2026-05-05 00:00:00 UTC000
May 52026-05-05 00:00:00 UTC2026-05-06 00:00:00 UTC000
May 62026-05-06 00:00:00 UTC2026-05-07 00:00:00 UTC000
May 72026-05-07 00:00:00 UTC2026-05-08 00:00:00 UTC000
May 82026-05-08 00:00:00 UTC2026-05-09 00:00:00 UTC000
May 92026-05-09 00:00:00 UTC2026-05-10 00:00:00 UTC000
May 102026-05-10 00:00:00 UTC2026-05-11 00:00:00 UTC000
May 112026-05-11 00:00:00 UTC2026-05-12 00:00:00 UTC000
May 122026-05-12 00:00:00 UTC2026-05-13 00:00:00 UTC110

What Hacker News says

3 sources
Interesting note from the repo [1]: > A Note on Model Release > Due to organizational policy constraints, we are unable to release the full production-trained model weights. To support the research community, we plan to release a foundation checkpoint with a small number of layers removed from both the LLM backbone and the diffusion head (flow head). The remaining layers and all other components (vision encoder, projections, embeddings, etc.) are fully preserved. With a short fine-tuning pass on your own data, the removed layers can be quickly re-learned and the model restored to full quality. [1] https://github.com/facebookresearch/tuna-2#a-note-on-model-r...
In Tuna-2: VAE-less image model from Meta

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