#moondream hashtag - Bluesky

@a5roseb.bsky.social

5 months ago

A haunting, dreamlike scene unfolds beneath a vast gray sky steeped in mist. At the center stands a solitary figure on a desolate shoreline, their silhouette draped in a long dark coat. From their head rise immense antlers, branching outward like the limbs of an ancient stag. The ground beneath them glistens with shallow water and scattered red leaves, reflecting dim light in rippling streaks. Overhead looms an enormous, radiant moon, glowing through the fog like an orb of molten gold. Its lower edge merges with a tangle of tree branches that seem to grow directly from its light, creating an illusion of the moon transforming into a luminous forest canopy. The atmosphere is thick with stillness—part reverence, part omen—where the natural and supernatural converge in quiet ceremony. Keywords: antlers, moonlight, mist, surreal landscape, forest symbolism, solitude, transformation, ethereal light, mythology, dreamscape, reflection, autumn leaves Clearly identified as AI-generated; use is permitted for non-commercial creative projects. MidJourney, FLUX.1-schnell model via Perchance, Artspace.ai, REVE, Echoform™

#WRB25 Oct 18: Hunter’s Moon
The Antlered Witness
The moon unravels its branches, and the forest remembers who watched it burn.
#surrealism #darkart #mythiclandscape #moondream #symbolicimagery #GenAI #SynthArt #AIart #aiartist #aiartcommunity #GenerativeArt #AIchallenge #BuilderofNightmares

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Raspberry-Pi

@raspberry-pi.activitypub.awakari.com.ap.brid.gy

6 months ago

Using Moondream AI To Make Your Pi “See” Like A Human [Jaryd] from Core Electronics shows us human-like computer vision with Moondream on the Pi 5. Using the Moondream visual language model, which runs directly on your Raspberry Pi, and not in the cloud, you can answer questions such as “are the clothes on the line?”, “is there a package on the porch?”, “did I leave the fridge open?”, or “is the dog on the bed?” [Jaryd] compares Moondream to an alternative visual AI system, You Only Look Once (YOLO). Processing a question with Moondream on your Pi can take anywhere from just a few moments to 90 seconds, depending on the model used and the nature of the question. Moondream comes in two varieties, based on size, one is two billion parameters and the other five hundred million parameters. The larger model is more capable and more accurate, but it has a longer processing time — the fastest possible response time coming in at about 22 to 25 seconds. The smaller model is faster, about 8 to 10 seconds, but as you might expect its results are not as good. Indeed, [Jaryd] says the answers can be infuriatingly bad. In the write-up, [Jaryd] runs you through how to use Moonbeam on your Pi 5 and the video (embedded below) shows it in action. Fair warning though, Moondream is quite RAM intensive so you will need at least 8 GB of memory in your Pi if you want to play along. If you’re interested in machine vision you might also like to check out Machine Vision Automates Trainspotting With Unique Full-Length Portraits.

Using Moondream AI to Make Your Pi “See” Like a Human [Jaryd] from Core Electronics shows us human-like computer vision with Moondream on the Pi 5. Using the Moondream visual language model, wh...

#Artificial #Intelligence #Raspberry #Pi #Moondream #AI #Raspberry #Pi #5

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Raspberry-Pi

@raspberry-pi.activitypub.awakari.com.ap.brid.gy

6 months ago

Using Moondream AI To Make Your Pi “See” Like A Human [Jaryd] from Core Electronics shows us human-like computer vision with Moondream on the Pi 5. Using the Moondream visual language model, which runs directly on your Raspberry Pi, and not in the cloud, you can answer questions such as “are the clothes on the line?”, “is there a package on the porch?”, “did I leave the fridge open?”, or “is the dog on the bed?” [Jaryd] compares Moondream to an alternative visual AI system, You Only Look Once (YOLO). Processing a question with Moondream on your Pi can take anywhere from just a few moments to 90 seconds, depending on the model used and the nature of the question. Moondream comes in two varieties, based on size, one is two billion parameters and the other five hundred million parameters. The larger model is more capable and more accurate, but it has a longer processing time — the fastest possible response time coming in at about 22 to 25 seconds. The smaller model is faster, about 8 to 10 seconds, but as you might expect its results are not as good. Indeed, [Jaryd] says the answers can be infuriatingly bad. In the write-up, [Jaryd] runs you through how to use Moonbeam on your Pi 5 and the video (embedded below) shows it in action. Fair warning though, Moondream is quite RAM intensive so you will need at least 8 GB of memory in your Pi if you want to play along. If you’re interested in machine vision you might also like to check out Machine Vision Automates Trainspotting With Unique Full-Length Portraits.

Using Moondream AI to Make Your Pi “See” Like a Human [Jaryd] from Core Electronics shows us human-like computer vision with Moondream on the Pi 5. Using the Moondream visual language model, wh...

#Artificial #Intelligence #Raspberry #Pi #Moondream #AI #Raspberry #Pi #5

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Susannah

@zannapics.bsky.social

6 months ago

#rightnow #moon #moonphoto #fullmoon #moondream

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@viviana-art.bsky.social

1 year ago

I am so glad to be part of CSMA”s new exhibit “Welcome Home”, so many stories were represented 💕 the opening reception was lovely and someone showed interest in buying my piece based on a legend of volcanos. #art #artexhibit #csma #vivianaleijasysak #moondream

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