Top Tweets for #BLIP2
#FineTuning 、learning_rate=5e-6、長辺1,024px、 #BLIP2 のcaptionに加え #JoyTag でのtxtで5 epochs版。1枚目MyCkpt、2枚目sdxl-base、XYZチャートは上から2番目。パラメータはこれで確定そうなので、現在10 epochsにむけ学習中(笑)
#AI美女 #AIグラビア #SDXL
#FineTuning 、learning_rate=5e-6に戻し、datasetの画像、長辺1216から1024へ変更した上に、captionだけだったのを #JoyTag で txtも作って最終学習開始！画像小さくしたら1 epoch、約1時間になったのでこれはラッキー(笑) どうなりますか！？5 epochsの結果は5時間後w
#SDXL #AI美女 #AIグラビア
🔍 Exciting update on Blip2 captioning models! 1-click Windows & RunPod installers with Gradio interfaces now available for batch captioning. Check out the impressive precision and speed results here: https://t.co/ionhybOx2z #Blip2 #ImageCaptioning #AI 🖼️ https://t.co/c8A5nE1LYk
観賞者が組み立てた影の見立てを機械に委ねてみる新作《Unreal Pareidolia -shadows-》が完成しました．子供も大人も体験できるといいなと思い設計しました．実空間のLED光の影が見立てられたプロジェクションの絵とスーッと切り替わります
#UnrealPareidolia #TouchDesigner #StableDiffusion #BLIP2
観賞者が組み立てた影の見立てを機械に委ねてみる新作《Unreal Pareidolia -shadows-》の実験(8倍速)．実空間で組んだLED光の影が見立てられたプロジェクションの絵とスーッと切り替わる感覚，早く皆様にお届けしたいです！展示機会募集中
#UnrealPareidolia #TouchDesigner #StableDiffusion #BLIP2
#CogVLM: open vision language models - deep fusion btn LLM & image encoder w/ visual experts!
CogVLM-17B tops 14 cross-modal benchs, beats #BLIP2, #PaLI-17B/X-55B, #PaLM-E-84B.
Paper: https://t.co/wlHSseeiu6
HF🤗: https://t.co/eA1M7yxtRx
@_akhaliq @osanseviero @huggingface
This domain name is for sale.
https://t.co/KvQv9chm5H
#instrut #blip #blip2
#instructblip
#Domains #domainnames #domainsforsale #DomainNameForSale #domainname #domainers #domaining #domainforsale
#InstructBLIP consistently improves our prior #BLIP2 models and significantly outperforms Deepmind’s #Flamingo-80B of much bigger model sizes on a variety of benchmarks for zero-shot vision and language tasks.
(4/n)
Built on the success of #BLIP2, InstructBLIP proposes a general instruction-tuning framework, where Q-Former extracts instruction-aware visual features from output embeddings of frozen image encoder, and feeds the visual features as soft prompt input to the frozen LLM.
(3/n)
Another function of my Player has been implemented. With the combination of #Blip2,@langchain ,#whisper. We can directly input the text to choose the part like "fighting", speech like "I am iron man", we want to watch in the long video or choose the person we get interested in
@1littlecoder MiniGPT-4 is literally just built based on our #BLIP2 with the latest LM #Vicuna, and it was using our LAVIS library, one of the most comprehensive open-source libraries for multimodal language-and-vision intelligence. https://t.co/0EejDIO25b
MiniGPT-4 is pretty astonishing: an AI chatbot you can use to ask questions about an image (a feature that's been promised but not yet shipped by GPT-4), building on top of the Vicuna-13B LLM (derived from LLaMA) and BLIP-2 vision-language model https://t.co/07eM64ZIq5
Edit Anything by Segment-Anything. This is an ongoing project aims to Edit and Generate Anything in an image, powered by #SegmentAnything, #ControlNet, #BLIP2, #StableDiffusion, etc.
https://t.co/885ius6F5p
I successfully broke my Mac after running #BLIP2 Image to Prompt model. 😂
Never heard the fans go that crazy
🚀🤖 BLIP2 lands on @JinaAI! Unleash the power of multimodal AI with this game-changing combo of language-image pre-training & an LLM. 🔥🌐 Try it today: https://t.co/WVys2c619D #BLIP2 #MultimodalAI
Meet BLIP-2: Salesforce New Open Source Visual-Language Model that is Faster the Simpler than GPT-4 https://t.co/0KUcxpAVQL #BLIP2 #Salesforce #GenerativeAI #artificialintellegence #TheSequence
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