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Researching pixels @freepik. Independently created the Chroma & Radiance models as personal projects. https://teapawt.org/t.co/d8h2mIi9zS https://teapawt.org/t.co/RrPsPku3y6

In your heart
Joined April 2023
Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)Photo by lodestone-rock (@LodestoneRock)
chroma-radiance-x0 result a true pixel space model combining JiT-x0 loss and pixnerd give it a go! github.com/comfyanonymous/Co… huggingface.co/lodestones/Ch…
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lodestone-rock retweeted
Today, we open-source P-H3-Image, an image generation and editing model built from MiniMax-H3 by @MiniMax_AI. A SOTA video model, turned into an efficient open image model. - 𝗛𝗼𝘄 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝘀 𝗶𝘁? Generate or edit images 5× faster, in 8 steps instead of 50. A 4 MP image takes 2.6 s instead of 12.4 s. The model is 7× smaller than H3, so high-resolution images are a light download and run on a much smaller GPU. - 𝗛𝗼𝘄 𝗴𝗼𝗼𝗱 𝗶𝘀 𝗶𝘁? Strongest at photorealism, documentary and editorial photography, film stills, and graphic styles with short quoted text. It renders 2 to 16 MP and edits with up to 8 input images. -𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸? We reworked every component of H3: the prompt upsampler, the text encoder, the diffusion schedule, the transformer, and the decoder. Use it with Diffusers or ComfyUI. 📄 Tech Report: pruna.ai/blog/oss-p-h3-image… 🤗 @huggingface Open Weights: huggingface.co/PrunaAI/P-H3-… 👉 @ComfyUI Native Support: huggingface.co/PrunaAI/P-H3-…
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Krea 3 is 50% off on OpenRouter until Nov 10. half the price per generation for every developer building on it. learn more 👇
Krea 3 is 50% off on OpenRouter through Nov 10. Give it a product shot, a person, and a location, and it puts them together in one 2K image in as little as 9 seconds. @krea_ai
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We’re introducing Hydrogen-1.0, our first open-weight model for scientific research. We post-trained GLM-5.3 (@Zai_org) on our internal scientific data, lab records, and discovery trajectories. It scores 38.3% on FrontierScience-Research vs GPT-6-Astra’s 33.3% and scores 93.0% on GPQA-Diamonds. We believe science should be open, collaborative, and democratized, rather than proprietary. Only open weights let researchers inspect, adapt and build on the unprecedented speed of AI growth. There are many recent models named by chemical elements, but we believe Hydrogen-1.0 is the first aiming towards and open scientific superintelligence for discovery. 🧵
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8 hours on the production line. 🤖 Xiaomi’s full-size humanoid robot takes on an 8-hour task at the Center Console Side-Cover Sorting Workstation at Xiaomi Auto Factory. Beyond sustained operation, it can autonomously detect and correct anomalies while coordinating with the production line system — another step toward real-world industrial deployment. #XiaomiRobotics #EmbodiedAI
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decided to launch a swarm of GLMs to prune down the latest ANT prospectus, cuz I ain't gonna read all of the yaps about the risk and safety paragraph before deciding if it's worth, only cold hard numbers. og amended prospectus sec.gov/Archives/edgar/data/… github.com/lodestone-rock/an…
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RAM must be collectivized to ensure that AGI benefits all of humanity
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mr incredible learns the truth about artificial analysis intelligence index v5
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lodestone-rock retweeted
Great to meet @ComfyUIWiki and @alexisrolland from @ComfyUI in person! 🤝 Looking forward to exploring more ways to build together. Stay tuned. 👀
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lodestone-rock retweeted
From recognizing text to understanding documents. 📄 Meet Xiaomi-OCR-0, an open-source document understanding model with just 0.8B parameters. It brings document parsing, key information extraction, and OCR-oriented visual question answering into one lightweight model. It scores 95.24 on Real5-OmniDocBench and 83.2 on average across five OCR-oriented VQA benchmarks. On OmniDocBench v1.6, Xiaomi-OCR-0 ranks first in document parsing performance among models with fewer than 1B parameters. Model weights, inference code, an interactive demo, MCP service, and Agent Skill are now open source. 👇 🤗 Huggingface: huggingface.co/xiaomi-resear… 🔗 GitHub: github.com/xiaomi-research/X… 📄 Demo: huggingface.co/spaces/loongw… #XiaomiAI #OCR #OpenSource
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lol my lawn mower is only used 1x a week. Should I rent one from OpenAI instead? Also, who caused the DRAM shortage? It wasn't consumers...
sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”
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hey sam, your mclaren is only used 5% of the time. this is a terrible allocation of scarce resources. have you considered taking the bus to work
sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”
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lodestone-rock retweeted
Last night, @higgsfield sent @ComfyUI a cease and desist (attached) They want the Open Source Higgsfield challenge taken down within 48 hours. Their argument is that our use of the Higgsfield name and that using their CEO's likeness is an infringement violation (man, the irony). Claiming that it makes the event look like Higgsfield is associated with it. This couldn't be farther from the truth, which is that Higgsfield made a promise to open source its product and never did. For the past two weeks, builders have been recreating popular closed apps as open workflows anyone can run. So we asked our community to deliver where Higgsfield failed: apps in the open, built by the community, for the community. We've made it clear that the challenge is organized by ComfyUI and not affiliated with or endorsed by Higgsfield. When we started Comfy, we made the community a promise. Our product stays open, free, and yours. We’ve kept it every day since, and one letter isn’t going to change that. The challenge stays up. Comfy and open source will win!
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Trump Phone Durability Test - Its worse than we thought...
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lodestone-rock retweeted
A benchmark showing Haiku 5.5 beating DeepSeek v4.1 Flash 1017 is a joke not a benchmark lol
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Introducing Mol-1: Open Frontier Biomolecular Intelligence 🚀🚀🚀 📊 75.0% on FoldBench-AB, near IsoDDE's reported 75.58%!!! 🧬 60k-token assemblies on one single H20, outperforming Anthropic 8/10. 🎯 VHHs binding hit rate as high as 63% with best SPR KD at 43 pM. GitHub: github.com/molence/Mol-1 Try it: lab.molence.com
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Meet Clover-35B-A3B-Preview 🍀 the first open-weight production diffusion language model (dLLM) with 35B total parameters capable of 680 tps on a single card at BF16. Clover exhibits strong performance against both dLLM and AR models and is available today at @huggingface @ModelScope2022 and at our website
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How is the internet less private than in 2006, when the whole family shared one computer? Back then, the internet was weird, personal, and all of ours. So, we got your favorite meme legends back together to say it louder: What happened to the internet? 1/3
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