We followed that up shortly with the release of Stable Diffusion 2.0, which also came with a suite of models for inpaintining. depth-to-image, and super-resolution!
GENERATIVE AI
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Stable Diffusion and DreamStudio AI officially released August 2022
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In Aug 2022, @StableDiffusion (in collaboration with Runway and CompVis research group) and @DreamStudioAI were both officially released!
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Stability AI Announces Year of Rapid Growth and Major Milestones
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Over the past year, Stability AI has grown rapidly, dedicated to our goal of building the foundation to activate humanity's potential. Here are some of the milestones and accomplishments we've had over the past year ↓
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Transformer Encoder Decoder Architecture for Edge Device Inference
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In our latest blog article, our Director of System Architecture, @brt_mns
, introduces the transformer encoder and decoder architecture and the challenges of inferring them on edge devices. Read more https://
axelera.ai/decoding-trans
formers-on-edge-devices/
… #ArtificialIntelligence #NLP #GenerativeAI -
Inside the White-Hot Center of AI Doomerism
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Inside the White-Hot Center of #AI Doomerism https://
nytimes.com/2023/07/11/tec
hnology/anthropic-ai-claude-chatbot.html?smid=nytcore-android-share
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Anthropic AI’s Claude 2 now available in US/UK, a long-awaited ChatGPT competitor.
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If you’re in the US/UK, you can take Anthropic AI’s Claude 2 for a spin today. Claude is ChatGPT’s long awaited competition that can accept prompts hundreds of pages long: https://
anthropic.com/index/claude-2 -
AutoDecoding Latent 3D Diffusion Models for Asset Generation
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AutoDecoding Latent 3D Diffusion Models
— AK (@_akhaliq) 12 juillet 2023
paper page: https://t.co/ftMUZW1hxg
present a novel approach to the generation of static and articulated 3D assets that has a 3D autodecoder at its core. The 3D autodecoder framework embeds properties learned from the target dataset in… pic.twitter.com/IPja1uHPRNAutoDecoding Latent 3D Diffusion Models paper page: https://
huggingface.co/papers/2307.05
445
… present a novel approach to the generation of static and articulated 3D assets that has a 3D autodecoder at its core. The 3D autodecoder framework embeds properties learned from the target dataset in -
Collaborative Score Distillation for Consistent Visual Synthesis
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Collaborative Score Distillation for Consistent Visual Synthesis
— AK (@_akhaliq) 12 juillet 2023
paper page: https://t.co/Lb1yiocpqq
Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when… pic.twitter.com/NzO05zCI8fCollaborative Score Distillation for Consistent Visual Synthesis paper page: https://
huggingface.co/papers/2307.04
787
… Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when -
Emu: Multimodal Foundation Model for Image and Text Generation
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Generative Pretraining in Multimodality paper page: https://
huggingface.co/papers/2307.05
222
… present Emu, a Transformer-based multimodal foundation model, which can seamlessly generate images and texts in multimodal context. This omnivore model can take in any single-modality or multimodal data -
Cognitive Synergy in LLMs: Multi-Persona Self-Collaboration Agent
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Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration paper page: https://
huggingface.co/papers/2307.05
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… Human intelligence thrives on the concept of cognitive synergy, where collaboration and information integration among