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Marigold V2: Repurposes a pretrained diffusion transformer into single-step dense predictors: depth, see-through depth, surface normals, albedo, and other dense modalities. Works in consumer GPU. Apache-2.0 license

Arun Kurian

1,180 subscribers

40,493 Aufrufe • vor 1 Monat •via X (Twitter)

Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

6 Kommentare

Profilbild von Sergio Caires

Sergio Cairesvor 29 Tagen

Wow. 😲 👍

Profilbild von Lewis_Orton

Lewis_Ortonvor 29 Tagen

impressive, how's the temporal stability

Profilbild von Aaron M Harris

Aaron M Harrisvor 29 Tagen

Can it work to convert video frames?

Profilbild von Brian Shields

Brian Shieldsvor 29 Tagen

@bilawalsidhu

Profilbild von Mellen Y. Pu

Mellen Y. Puvor 1 Monat

amazing! are they OOD samples?

Profilbild von Ghoshan

Ghoshanvor 1 Monat

@grok what can it predict?

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first impressions of qwen 3.5 27B dense on a single RTX 3090. 35 tok/s. from 4K all the way to 300K+ context. no speed drop. hermes 4.3 started at 35 and degraded to 15 as context filled. qwen dense holds. MoE held 112 flat. 3x faster but only 3B of 35B active per token. architecture tradeoff. Q4_K_M on 16.7GB. native context 262K. pushed past training limit to 376K before VRAM ceiling on 24GB. tried q8 KV cache at 262K, speed collapsed to 11 tok/s. q4_0 KV is the sweet spot. flash attention mandatory. built in reasoning mode. the model thinks step by step before it answers. full chain of thought surviving Q4 quant. 1,799+ token thinking chains with self correction loops. on a single consumer GPU. gave it one prompt: "build a realtime particle galaxy simulation in one HTML file." 3,340 tokens. 95 seconds. one shot. ran on first load. full reasoning and coding in the video below. optimal config if you want to skip the hours of testing: llama-server -ngl 99 -c 262144 -fa on --cache-type-k q4_0 --cache-type-v q4_0 this is just the warmup. octopus invaders is next: 10 files, 3,400+ lines, zero steering. the prompt hermes quit at 22%. already more impressed than expected. full results coming soon.

Sudo su

122,051 Aufrufe • vor 7 Monaten

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Zentrix⌚️

137,112 Aufrufe • vor 3 Monaten

🌷 The Egg Carton Trick for Planting Bulbs—Fast & Perfectly Spaced Forget digging dozens of tiny holes. This simple, low-cost gardening trick lets you plant many bulbs at once, evenly spaced, with almost no measuring and far less effort. How it works: Step 1 Dig a single wide trench to the correct depth (roughly three times the height of the bulb). Level the bottom so everything sits evenly. Step 2 Place cardboard egg cartons directly on the soil, side by side. Drop one bulb into each cup, pointed tip facing up. Step 3 Cover everything with the soil you removed earlier—about 4–6 inches above the bulbs. Water thoroughly so the soil settles and the cartons begin breaking down. Step 4 Over time, the cardboard naturally decomposes. When spring arrives, you’re left with a dense, evenly spaced blanket of flowers. ⚠️ Important material reminder: Use only paper or cardboard egg cartons Never use plastic or Styrofoam cartons For faster root growth, cut a small slit in the bottom of each egg cup 🌼 Bulbs that work best: Ideal size: tulips, daffodils, crocus, grape hyacinths (muscari), scilla Not recommended: very large bulbs like giant alliums 🍂 When to plant: Best planted in fall, once soil temperatures drop below 60°F (15°C) Water immediately after planting to speed up decomposition and root contact

🌷 The Egg Carton Trick for Planting Bulbs—Fast & Perfectly Spaced Forget digging dozens of tiny holes. This simple, low-cost gardening trick lets you plant many bulbs at once, evenly spaced, with almost no measuring and far less effort. How it works: Step 1 Dig a single wide trench to the correct depth (roughly three times the height of the bulb). Level the bottom so everything sits evenly. Step 2 Place cardboard egg cartons directly on the soil, side by side. Drop one bulb into each cup, pointed tip facing up. Step 3 Cover everything with the soil you removed earlier—about 4–6 inches above the bulbs. Water thoroughly so the soil settles and the cartons begin breaking down. Step 4 Over time, the cardboard naturally decomposes. When spring arrives, you’re left with a dense, evenly spaced blanket of flowers. ⚠️ Important material reminder: Use only paper or cardboard egg cartons Never use plastic or Styrofoam cartons For faster root growth, cut a small slit in the bottom of each egg cup 🌼 Bulbs that work best: Ideal size: tulips, daffodils, crocus, grape hyacinths (muscari), scilla Not recommended: very large bulbs like giant alliums 🍂 When to plant: Best planted in fall, once soil temperatures drop below 60°F (15°C) Water immediately after planting to speed up decomposition and root contact

Plants and gardening

301,733 Aufrufe • vor 7 Monaten

AI VIDEOS HAVE CRACKED CONVERSATIONAL HAND GESTURES AND LOW ANGLE ANATOMY A girl with sleek auburn hair talks candidly into a low angle camera framed in a white apartment doorway, wearing a lavender plunge sports bra, high cut grey lounge shorts, and a layered gold heart pendant, gesturing naturally with open hands as she speaks. Nothing about the articulation or physical depth feels synthetic. Until recently, conversational hand gestures from an upward perspective were an instant failure point for generative video. When hands move rapidly in front of the torso, gesturing, pausing, and turning palms toward the lens, diffusion models struggle with spatial depth: fingers usually warp, nails blur into skin, and the hands frequently clip right through the chest fabric. Add a plunging neckline and tight elastic waistbands that must expand and contract with natural breathing, and earlier pipelines would produce severe texture smearing. Now, every gesture respects physical clearance and perspective. The fingers maintain sharp anatomical separation, the gold pendant stays anchored to the sternum without drifting, and the high-cut jersey shorts hold their structural tension over shifting hips. The real breakthrough isn’t hyper stylized cinematic shots, it’s that AI can now render an unscripted, 5 second casual vlogging story without a single glitch giving away the prompt.

AI VIDEOS HAVE CRACKED CONVERSATIONAL HAND GESTURES AND LOW ANGLE ANATOMY A girl with sleek auburn hair talks candidly into a low angle camera framed in a white apartment doorway, wearing a lavender plunge sports bra, high cut grey lounge shorts, and a layered gold heart pendant, gesturing naturally with open hands as she speaks. Nothing about the articulation or physical depth feels synthetic. Until recently, conversational hand gestures from an upward perspective were an instant failure point for generative video. When hands move rapidly in front of the torso, gesturing, pausing, and turning palms toward the lens, diffusion models struggle with spatial depth: fingers usually warp, nails blur into skin, and the hands frequently clip right through the chest fabric. Add a plunging neckline and tight elastic waistbands that must expand and contract with natural breathing, and earlier pipelines would produce severe texture smearing. Now, every gesture respects physical clearance and perspective. The fingers maintain sharp anatomical separation, the gold pendant stays anchored to the sternum without drifting, and the high-cut jersey shorts hold their structural tension over shifting hips. The real breakthrough isn’t hyper stylized cinematic shots, it’s that AI can now render an unscripted, 5 second casual vlogging story without a single glitch giving away the prompt.

aitifa uncut

60,196 Aufrufe • vor 26 Tagen

Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on Arena.ai — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in Google AI Studio or download the weights on Hugging Face, Kaggle, and ollama.

Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on Arena.ai — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in Google AI Studio or download the weights on Hugging Face, Kaggle, and ollama.

Google AI

1,671,077 Aufrufe • vor 6 Monaten