The model is here, but still a little WIP: https://
replicate.com/fofr/sdxl-lcm-
multi-controlnet-lora
… And the code is here:
GENERATIVE AI
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SDXL LCM Multi-ControlNet LoRA Model Released
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RAG Applications: Tech Stack, Tools, and Use Cases
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Have you created/used RAG applications or learned to build them? What tech stack or libraries are you using for your RAG apps? Vector stores, databases, APIs… And what do you use #RAG for?
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OpenAI Situation Reaches Confusion Singularity This Weekend
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Every four hours, the OpenAI situation gets twice as confusing. I am expecting a "confusion singularity" by this weekend.
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AWS re:Invent Showcases Stable Diffusion XL in Amazon Bedrock
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Will we see you at AWS re:Invent in Las Vegas? We’ll be at the AWS Village in The Venetian Hotel with Amazon Bedrock from November 27th to December 1st. We look forward to sharing how developers, startups, and enterprises can leverage @StableDiffusion XL in Amazon Bedrock for
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Latent space sequence-to-sequence translation advantages explained
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what do you think are the advantages of doing this kind of sequence-to-sequence translation in latent space?
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Advanced AI Learning: Prompting, RAG, and Balanced Study Approach
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7. Explore Advanced Concepts: Learn Prompting and Retrieval Augmented Generation (RAG) techniques. 8. Balanced Learning: Balance structured courses with self-guided exploration and project work.
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Text Diffusion Research: Current State and Paper Critique
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that's funny! but yeah, there's a lot of work on text diffusion already! I don't think this paper is a representative or useful example!
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ControlNet helps control generative AI model outputs
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I'd add that controlnet helps reign it in a bit
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OpenAI Reaffirms Developer Commitment Despite Uncertainty
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A note to @OpenAI developers : I wanted to express my appreciation for all the warm, thoughtful, and supportive messages I got and I’ve seen posted across the community. Despite a moment of uncertainty, our commitment to developers remained steadfast. In the meantime,
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Text Diffusion in Embedding Space for Sequence Tasks
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cool research idea for someone: text diffusion in embedding space solve any sequence-to-sequence task in three steps:
1. embed source sentence text
2. build diffusion model that maps input text embedding to target text embedding
3. invert to produce target text