abstract_datum's profile picture. Just data stuff all day

Abstract Data

@abstract_datum

Just data stuff all day

Abstract Data 님이 재게시함

New @huggingface cookbook: Optimizing LLMs with @DSPyOSS GEPA! ✨ 11% accuracy boost with <$0.50 total cost 🧠 Dual-model magic: cheap inference + smart reflection 📊 NuminaMath-1.5 dataset 🎯 Reflective prompt optimization @lateinteraction huggingface.co/learn/cookbook… #GEPA #DSPy


Abstract Data 님이 재게시함

Knitted Movie Posters by Seedream 4 on @BasedLabsAI 🧶🎥 Prompt👇🏻

TechieBySA's tweet image. Knitted Movie Posters by Seedream 4 on @BasedLabsAI 🧶🎥

Prompt👇🏻

Abstract Data 님이 재게시함

Ooooo I like this new question ux in Claude Code 👏


Abstract Data 님이 재게시함

Where DREAMS compile in Dev... And NIGHTMARES deploy in Prod.


Abstract Data 님이 재게시함

Hot! WithAnyone by StepFun. Controllable, ID‑consistent DiT; boosts pose/expression; high ID fidelity. Models for FLUX.1 Dev + Kontext doby-xu.github.io/WithAnyone/

wildmindai's tweet image. Hot! WithAnyone by StepFun. Controllable, ID‑consistent DiT;  boosts pose/expression; high ID fidelity. Models for FLUX.1 Dev + Kontext 
doby-xu.github.io/WithAnyone/
wildmindai's tweet image. Hot! WithAnyone by StepFun. Controllable, ID‑consistent DiT;  boosts pose/expression; high ID fidelity. Models for FLUX.1 Dev + Kontext 
doby-xu.github.io/WithAnyone/
wildmindai's tweet image. Hot! WithAnyone by StepFun. Controllable, ID‑consistent DiT;  boosts pose/expression; high ID fidelity. Models for FLUX.1 Dev + Kontext 
doby-xu.github.io/WithAnyone/

Abstract Data 님이 재게시함
toyxyz3's tweet image. reddit.com/r/StableDiffus…

Abstract Data 님이 재게시함

👇🏻Try our open-source 3D world generator ⚡️creating 3DGS scenes in seconds on a single GPU, similar to #worldlabs

Tencent's FlashWorld: high-quality 3D scenes, fast! Generate stunning 3D scenes from a single image or text prompt. Achieve high-quality results in just 7 seconds on an A100/A800 GPU! That's a 10-100x speedup over prior methods.



Abstract Data 님이 재게시함

There's a new high-fidelity upscaler on Replicate. Skin, hair and clothing textures all look fantastic. replicate.com/philz1337x/cry… It's optimised for portraits and can currently upscale to 24MP (more soon)

fofrAI's tweet image. There&apos;s a new high-fidelity upscaler on Replicate. Skin, hair and clothing textures all look fantastic.
replicate.com/philz1337x/cry…

It&apos;s optimised for portraits and can currently upscale to 24MP (more soon)
fofrAI's tweet image. There&apos;s a new high-fidelity upscaler on Replicate. Skin, hair and clothing textures all look fantastic.
replicate.com/philz1337x/cry…

It&apos;s optimised for portraits and can currently upscale to 24MP (more soon)

✨ The new Crystal upscaler is live I spent weeks developing this.. and it finally solves the classic portrait upscaling problem 🤩 No more blurry faces No more plastic skin No change of identity Just sharp, clean results that actually look like the original, only better

philz1337x's tweet image. ✨ The new Crystal upscaler is live

I spent weeks developing this..
and it finally solves the classic portrait upscaling problem 🤩

No more blurry faces
No more plastic skin
No change of identity

Just sharp, clean results
that actually look like the original, only better
philz1337x's tweet image. ✨ The new Crystal upscaler is live

I spent weeks developing this..
and it finally solves the classic portrait upscaling problem 🤩

No more blurry faces
No more plastic skin
No change of identity

Just sharp, clean results
that actually look like the original, only better


Abstract Data 님이 재게시함

😇 This is genius, man! 💡 A brand-new face swap method — using QIE-2509 with “WOW!” results. 👇🏻 Check the comments for detailed steps.

drawthingsapp's tweet image. 😇 This is genius, man!

💡 A brand-new face swap method — using QIE-2509 with “WOW!” results.

👇🏻 Check the comments for detailed steps.

Abstract Data 님이 재게시함

ok so let me explain why subagents kill long context Like you can spend $500m building 100 million context models, and they would be 1) slow, 2) expensive to use, 3) have huge context rot. O(n) is the lower bound. Cog's approach is something you learn in day 1 of @CS50 -…

Introducing SWE-grep and SWE-grep-mini: Cognition’s model family for fast agentic search at >2,800 TPS. Surface the right files to your coding agent 20x faster. Now rolling out gradually to Windsurf users via the Fast Context subagent – or try it in our new playground!



Abstract Data 님이 재게시함

Hunyuan's latest work: Generating high-quality 3D worlds in 5 seconds with a single GPU. 🔥 Code: github.com/imlixinyang/Fl… Page: imlixinyang.github.io/FlashWorld-Pro…

imlixinyang.github.io

PAPER_TITLE

BRIEF_DESCRIPTION_OF_YOUR_RESEARCH_CONTRIBUTION_AND_FINDINGS

⚡️Generating 3DGS scenes in 5 seconds on a single GPU⚡️ #FlashWorld enables ⚡️*fast*⚡️ (10~100x faster than previous methods) and 🔥*high-quality*🔥 3D world generation, from a single image or text prompt. Code: github.com/imlixinyang/Fl… Page: imlixinyang.github.io/FlashWorld-Pro…



Abstract Data 님이 재게시함

[1/3] 🚀 Introducing Face-to-Photo by DiffSynth-Studio & @Merjic_AI ! Transform ordinary face photos into stunning high-fidelity portraits. It's now open-source! 👍 Built on Qwen-Image-Edit @Alibaba_Qwen, the Face-to-Photo model excels at precise facial detail restoration.…

ModelScope2022's tweet image. [1/3] 🚀 Introducing Face-to-Photo by DiffSynth-Studio &amp;amp; @Merjic_AI ! Transform ordinary face photos into stunning high-fidelity portraits. It&apos;s now open-source!

👍 Built on Qwen-Image-Edit @Alibaba_Qwen, the Face-to-Photo model excels at precise facial detail restoration.…
ModelScope2022's tweet image. [1/3] 🚀 Introducing Face-to-Photo by DiffSynth-Studio &amp;amp; @Merjic_AI ! Transform ordinary face photos into stunning high-fidelity portraits. It&apos;s now open-source!

👍 Built on Qwen-Image-Edit @Alibaba_Qwen, the Face-to-Photo model excels at precise facial detail restoration.…
ModelScope2022's tweet image. [1/3] 🚀 Introducing Face-to-Photo by DiffSynth-Studio &amp;amp; @Merjic_AI ! Transform ordinary face photos into stunning high-fidelity portraits. It&apos;s now open-source!

👍 Built on Qwen-Image-Edit @Alibaba_Qwen, the Face-to-Photo model excels at precise facial detail restoration.…
ModelScope2022's tweet image. [1/3] 🚀 Introducing Face-to-Photo by DiffSynth-Studio &amp;amp; @Merjic_AI ! Transform ordinary face photos into stunning high-fidelity portraits. It&apos;s now open-source!

👍 Built on Qwen-Image-Edit @Alibaba_Qwen, the Face-to-Photo model excels at precise facial detail restoration.…

Abstract Data 님이 재게시함

chat is this real??? 128K context, int4 quantisation, 1B params, distilled from Llama 4 🔥 huggingface.co/facebook/Mobil…


Abstract Data 님이 재게시함

AI multilingual speech recognition, translation, dubbing web app

tom_doerr's tweet image. AI multilingual speech recognition, translation, dubbing web app

Abstract Data 님이 재게시함

🚀 PaddleOCR-VL is here! Introducing PaddleOCR-VL (0.9B) — the ultra-compact Vision-Language model that reaches SOTA accuracy across text, tables, formulas, charts & handwriting. Breaking the limits of document parsing!🌍 Powered by: • NaViT dynamic vision encoder • ERNIE…

PaddlePaddle's tweet image. 🚀 PaddleOCR-VL is here! 

Introducing PaddleOCR-VL (0.9B) — the ultra-compact Vision-Language model that reaches SOTA accuracy across text, tables, formulas, charts &amp;amp; handwriting. Breaking the limits of document parsing!🌍

Powered by:
• NaViT dynamic vision encoder
• ERNIE…

Abstract Data 님이 재게시함

PaddleOCR-VL-0.9B is mind blowing and it supports 109 languages! Check it out on HF demo:

Xianbao_QIAN's tweet image. PaddleOCR-VL-0.9B is mind blowing and it supports 109 languages!

Check it out on HF demo:

Abstract Data 님이 재게시함

Making fun with the new APPS from @runwayml, i'm testing "add dialogue" with onomatopoeia, and it's working very well !! So fun !


Abstract Data 님이 재게시함

Special Thanks to @GauzillaPro and Yoshiharu (Josh) S. as well to make this into reality! 🙌🤩

Reality — Captured. Progress — Tracked. With @XGRIDS2023 #handheldscanners + #3DGS, #AEC teams can document, compare & verify progress with photorealistic precision. Find out more: heliguy.com/blogs/posts/xg… #aec #survey



Abstract Data 님이 재게시함

ByteDance just released Sa2VA on Hugging Face The first unified model for dense grounded understanding of images and videos. Combines SAM2 with LLaVA for SOTA segmentation and visual QA.


Abstract Data 님이 재게시함

We are excited to release the technical report for RAG-Anything 🚀: All-in-One RAG Framework. ⭐ RAG-Anything has now reached over 8.3k stars on Github! Thanks to the valuable feedback and comments from the open-source community! ------------------------------------------ I.…

huang_chao4969's tweet image. We are excited to release the technical report for RAG-Anything 🚀: All-in-One RAG Framework.

⭐ RAG-Anything has now reached over 8.3k stars on Github! Thanks to the valuable feedback and comments from the open-source community!

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