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miguel piedrafita
@m1guelpf
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@m1guelpf
the new huggingface transformers release makes it super easy to play with negative prompts for Stable Diffusion. super cool for smol tweaks once you've found your ideal composition!
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apolinário from multimodal ai art
@multimodalart
diffusers 🧨v0.4.0 introduces (among many other amazing features) negative prompts to Stable Diffusion! Now you can, keeping the same seed, remove specific objects, colors or concepts from your output 🟪🏙 twitter.com/psuraj28/statu…
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miguel piedrafita
@m1guelpf
a colab allowing you to tweak SD images by editing prompts, incredibly powerful!
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miguel piedrafita
@m1guelpf
The absolute chads at @weights_biases (I think @soumikRakshit96) took the prompt-editing paper from Google Research (which used Imagen), and implemented it with Stable Diffusion instead. So yea, tweaking SD images just got wayyy easier 👀 wandb.ai/wandb/cross-at
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miguel piedrafita
@m1guelpf
super cool strategy to get actually coherent videos with Stable Diffusion (colab to be released soon supposedly)
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Dmitrii Tochilkin
@cut_pow
1.3 -"But we've already had 3D algorithm for DD and SD!" - Yes, and it also worked on top of MiDaS depth maps. The difference is that it interpolates missing info by 'warping' space, which is good for artistic or trippy videos, but not good for realistic animation. Visualization:
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miguel piedrafita
@m1guelpf
Someone finally managed to add speaker detection to Whisper! Should be very handy for podcast/interview transcriptions :D (colab in thread)
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Dwarkesh Patel
@dwarkesh_sp
I've been using OpenAI's Whisper model to generate initial drafts of transcripts for my podcast. But Whisper doesn't identify speakers. So I stitched it to a speaker recognition model. Code is below in case it's useful to you. Let me know how it can be made more accurate.
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miguel piedrafita
@m1guelpf
Runway releases AI magic tools for video! Closed source and you have to use them thru their website, but way too cool not to share
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Runway
@runwayml
Introducing AI Magic Tools Dozens of creative tools to edit and generate content like never before. New tools added every week. Available now: runwayml.com
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miguel piedrafita
@m1guelpf
reading people's thoughts with frightening accuracy? yea why not (would be very interesting to check if accuracy varies with people that report not having an internal monologue)
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Jerry Tang
@jerryptang
very excited to share our paper on reconstructing language from non-invasive brain recordings! we introduce a decoder that takes in fMRI recordings and generates continuous language descriptions of perceived speech, imagined speech, and possibly much more biorxiv.org/content/10.110
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miguel piedrafita
@m1guelpf
text-to-{textured 3d model with animations}?? only paper for now, but looks very very cool
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Ziwei Liu
@liuziwei7
#AvatarCLIP (Text2Avatar Model) generates and animates 3D avatar from natural language description of body shape, appearance and motion. - Project Page: hongfz16.github.io/projects/Avata - Demo Video: youtube.com/watch?v=-l2ZMe - Code: github.com/hongfz16/Avata
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miguel piedrafita
@m1guelpf
first text-to-HDR model I've seen, and looks like it comes with code too!
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Ziwei Liu
@liuziwei7
#Text2Light generates VR environment (in the form of HDR panorama) from natural language description. - Project Page: frozenburning.github.io/projects/text2 - Demo Video: youtube.com/watch?v=XDx6tO - Code: github.com/FrozenBurning/
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miguel piedrafita
@m1guelpf
Remember Phenaki? (it was one of the first text-to-video models in this thread, released with no code or papers). Well, someone is working on re-implementing the code from the paper! Should be able to generate videos of up to 2 minutes once done 🤩
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AK
@_akhaliq
Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch github: github.com/lucidrains/phe
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miguel piedrafita
@m1guelpf
"audio hypercompression" model by Meta, seems to get insane results and be fully open-source 👀
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Meta AI
@MetaAI
Today we’re sharing some of our latest progress on AI-powered hypercompression of audio. Our researchers achieved ~10x compression rate vs. MP3 at 64 kbps with no quality loss — the first time this has been done with 48 kHz sampled stereo audio ➡️ bit.ly/3FfgPCb 1/5
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miguel piedrafita
@m1guelpf
NERFs in 4D! (aka, reconstructing a virtual camera you can freely move around a scene from a video, but now the video can also play instead of just staying still)
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AK
@_akhaliq
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields abs: arxiv.org/abs/2210.15947 project page: lsongx.github.io/projects/nerfp
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miguel piedrafita
@m1guelpf
Fine-tuning for Whisper! The article explains how you can improve quality of a language, but I wonder if you could improve domain knowledge too (to make, for example, crypto podcast transitions more accurate)
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Sanchit Gandhi
@sanchitgandhi99
Whisper fine-tuning is **here**! Check out the blog post for a step-by-step guide on fine-tuning Whisper with 🤗 Transformers: huggingface.co/blog/fine-tune Boost WER performance vs zero-shot with as little as 8h of training data 🤯 All on a single Google Colab notebook...
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miguel piedrafita
@m1guelpf
Generate videogame cutscene camera shots from a movie director you like 🤩
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Christian Guckelsberger
@creativeEndvs
Human-AI co-creation of #videogame cutscenes in the style of eminent directors @acmchiplay! Great work by @lineupthesky, supervised by @perttu_h & me. @unity plugin, extendable dataset github.com/inanevin/Cine-, OA paper dl.acm.org/doi/10.1145/35, presentation programs.sigchi.org/chi%20play/202
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miguel piedrafita
@m1guelpf
really nice greenscreening model, with code/weights supposedly coming soon!
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AK
@_akhaliq
FactorMatte: Redefining Video Matting for Re-Composition Tasks abs: arxiv.org/abs/2211.02145 project page: factormatte.github.io
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