Who contributed to Hugging Face on July 28, 2026?

5 developers shipped this update, including linoytsaban, sayakpaul, Raushan Turganbay, Ferdinand Mom, and osolmaz.

What were the notable Hugging Face updates?

[lora training] add caption dropout and aspect ratio buckets to krea2 and qwen-image, [tests] migrate training tests to pytest, and Add FSDP plans to all models (#47165).

Jul 28, 2026

$ the-wire · showcase

DIFFUSERS TIGHTENS LORA TRAINING, TRANSFORMERS SHIPS FSDP2 FOUNDATION

By RepoJournal · Filed 06:59 UTC on July 28, 2026 · About Hugging Face · Composed from the cited sources · methodology

5 people shipped this

Ferdinand Mom @3outeille 2 cited

osolmaz @osolmaz 2 cited

linoytsaban @linoytsaban 1 cited

sayakpaul @sayakpaul 1 cited

Raushan Turganbay @zucchini-nlp 1 cited

Hugging Face cut training tests over to pytest while shipping caption dropout and aspect-ratio bucketing for two key LoRA models, and transformers landed its FSDP2 native module ahead of major distributed training rework.

Diffusers merged caption dropout and aspect-ratio bucketing for krea2 and qwen-image [1], two training features that let operators randomly zero captions to improve classifier-free guidance and pack images by ratio instead of padding to fixed sizes. The team also migrated training tests to pytest [2] to standardize infrastructure, with follow-up work to consolidate test mixins and eliminate copy-paste patterns [2]. Transformers shipped FSDP2 native module wrapping and plan verification [3], moving distributed training coordination out of integrations and into core, then cleaned up redundant guards across the codebase [4]. On the multimodal front, transformers updated most commonly used LLM processors in a breaking change that removed small private functions [5]. MLClaw completed OpenAI OAuth integration across five commits, removing the Codex CLI dependency entirely and routing agent models through native OpenClaw harness [6], while hardening credential lifecycle to prevent logout undo and preserve migration intent [7].

Action items

→ Review breaking processor changes in transformers [ref:9] before upgrading if you depend on private multimodal functions huggingface/transformers [plan]
→ Test FSDP2 integration if running distributed training at scale huggingface/transformers [monitor]
→ Integrate caption dropout into LoRA training pipelines for better CFG performance huggingface/diffusers [plan]

References

[1] [lora training] add caption dropout and aspect ratio buckets to krea2 and qwen-image ↗ huggingface/diffusers
[2] [tests] migrate training tests to pytest. ↗ huggingface/diffusers
[3] Add FSDP plans to all models (#47165) ↗ huggingface/transformers
[4] Remove redundant guarding for distributed (#47570) ↗ huggingface/transformers
[5] :rotating_light: Processors update the rest ↗ huggingface/transformers
[6] fix(openai): use Codex agent runtime ↗ huggingface/mlclaw
[7] fix(credentials): harden Codex credential lifecycle ↗ huggingface/mlclaw