LTX 2.5 LipSync Image to video ComfyUi in Mac m4 | Solutions Ready | #shorts #mac #applesilicon
youtube.com/shorts/AUrjTctGX…
#ltx #comfyui #mac #lipsync
Running MiniMax H3 (2K Audio) on a 16GB Mac Mini! 🚀| SUCCESS #shorts #comfyui #minimax #mac
youtube.com/shorts/JXFWwQ1Vh… #minimax #ComfyUI #mac #applesilicon
Devraj Gupta retweeted
The Impossible LTX 2.5 Mac Fix Found! 🔥 #shorts #artificialintelligence #tech #ltx #ltxvideo
youtube.com/shorts/BbaiKfqe9…. #ltx #comfy #mac #tech
Devraj Gupta retweeted
Running LTX 2.5 Locally on Mac Mini M4 16GB (No Crash!) | Impossible Fix
youtu.be/zJbDU1jvJCo
Running LTX 2.5 Locally on Mac Mini M4 16GB (No Crash!) | Impossible Fix
youtu.be/zJbDU1jvJCo
The Impossible LTX 2.5 Mac Fix Found! 🔥 #shorts #artificialintelligence #tech #ltx #ltxvideo
youtube.com/shorts/BbaiKfqe9…. #ltx #comfy #mac #tech
How AGI Changes Web Development Forever #future #tech #javascript | #shorts youtube.com/shorts/XtODf5a3J… via @YouTube #agi #Nvidia #local #newlearning #agenticai #x #spacex
Fixed the 100% ComfyUI Float8 crash on base 16GB Mac Mini M4!
We uses node isolation to route text encoders to CPU while keeping tensors on GPU. Because of Apple UMA, it achieves a zero-copy bypass with only +120ms latency.
Watch & grab free JSONs: youtu.be
Devraj Gupta retweeted
Please subscribe to support me in YouTube channel @aiwithjsdev
Devraj Gupta retweeted
Can the base $599 Mac mini M4 (16GB) REALLY handle local AI? 🤔
I put ComfyUI Desktop to the ultimate stress test: running Flux, LTX Video, Hunyuan & Local LLMs.
See if 16GB unified memory is actually enough, or if it crashes! 👇
▶️ youtu.be/1jmyfu2vguQ
#MacMiniM4 #ComfyUI
Devraj Gupta retweeted
Can a $599 16GB Mac Mini M4 actually run Wan 2.1 or MiniMax H3 locally without crashing? Let's put it to the test and see how it handles ComfyUI workflows! 💻🔥
Check out the full video here: youtube.com/shorts/Sxflta-vE…
Devraj Gupta retweeted
ComfyUI crashing on your M4 Mac with MPS errors?
The MPS backend chokes on the text encoder format.
Fix: Route just that text node to the CPU. Unified memory handles the handoff instantly back to the GPU.
Watch the fix: youtube.com/shorts/DcNAZ4xiD…