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[loop-30sec] 🔔's mating press more experimentin' this time around! models by DaB scene by Lambo🔞COMMS OPEN (0/3) SFX Pack by OpenNSFW VA Pack by 千夜(Chiyoru)🐈️🌃 4k & more in bio! #zzzero #rule34
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Time for a new animation! is working on her beach body, but it all goes to her butt... Model by @dreamrider3d, VO by 千夜(Chiyoru)🐈️🌃 from the OpenNSFW, Sound design & Animation by me. #expansion #rule34 #dva #overwatch2 #sizetwitter
Size King
115,813 просмотров • 2 лет назад
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Sue Storm x Venom Headphones recommended🎧 Models by:🇵🇱TheMadCommander🇵🇱 Va-Pack:OpenNSFW Sound Pack - 🌧️ Rain 🌧️ Puppy Vtuber 🔞VA SFXpck:LeHornySFX3D🔞 (COMMS OPEN) ❤️&🔄️ #marvelRivals #3Danimation #SueStorm
PenkyDeus - Commissions open!
25,435 просмотров • 1 год назад
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Guinaifen Possessed During Stream~ 👻 After wrapping up Stream Guinaifen is possessed by some suspicious malware on her phone... SFX OpenNSFW Moan Pack MOO🩷COW This animation is shorter than my other ones due to me testing some new plugins I got for Koikatsu and I wanted to time myself on how long it takes start to finish to make an animation, so I could more accurately price them. More info soon on my Twitter. 4K60, Nude, POV, Phone Camera, No Overlay Version, and Scene Data on Patreon! Discord #TSF #憑依 #乗っ取り
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44,618 просмотров • 1 год назад
![Graph Convolutional Network by hand ✍️ ~ 12 steps walkthrough below Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, are the tool for data shaped like a graph: social networks, recommendations, biological networks, drug discovery, molecular chemistry. I drew and calculated a simple GCN entirely by hand. Goal: run a two-layer GCN, then a small classifier, on a five-node graph, filling in every cell yourself. 1. Given A graph of five nodes, A to E, with edges between some of them. 2. Adjacency matrix (neighbors) Put a 1 wherever two nodes share an edge, in both directions. 3. Adjacency matrix (self) Add 1s down the diagonal, one self-loop per node. That is just adding the identity matrix. 4. Messages Multiply each node's embedding by the weights and biases, then ReLU. Negatives become 0. 5. Pooling Multiply the messages by the adjacency matrix. Each node gathers the messages of its neighbours and itself. 6. Visualize Node A pools [3,0,1] + [1,0,0] = [4,0,1]. 7. Second GCN layer Messages again: weights, biases, ReLU. 8. Pooling again Pool over each node and its neighbours, once more. 9. Visualize Node C pools [1,2,4] + [1,3,5] + [0,0,1] = [2,5,10]. 10. Fully connected layer Weights, biases, ReLU. This time there are no neighbours to pool, just the node itself. 11. Linear layer One more: weights and biases. 12. Sigmoid Squash each score to a probability (≥ 3 → 1, 0 → 0.5, ≤ -3 → 0). That is the classification for each node. You have just classified every node in the graph by hand. ✍️ The outputs: A: 0 (very unlikely) B: 1 (very likely) C: 1 (very likely) D: 1 (very likely) E: 0.5 (neutral) The takeaway: a GCN layer is two parts. The top part pools each node with its neighbours through the adjacency matrix. The bottom part is an MLP that transforms each node on its own. A transformer layer has the same two parts, with an attention matrix where the adjacency matrix was. Both matrices do one job, mixing across positions: attention over tokens, adjacency over nodes. In my class I call the GCN the transformer's little cousin: a bit more stubborn, because its attention is fixed by the graph rather than computed from Q, K, and V. Draw the two side by side and the resemblance is hard to miss. 💾 Save this post! #AIbyHand #GraphNeuralNetworks #DeepLearning](https://image.24vids.com/tw-2077396566864773414/ext_tw_video_thumb/2077396555410051073/pu/img/JX9U_Rk-wmgd1S-x.jpg)
![The #PowerRangersPreservationProject Presents LOST Lost Galaxy: Erin Simms as Maya Part 2! Shot on the same day as Maya’s recovered morphed scene onboard the Astro Megaship we debuted last year, this scene begins at the beginning of Episode 3 — as Maya navigates unseen corridors of Terra Venture to access the Astro Megaship after hearing the call of the Galactabeasts. Slightly extended from the final scene featuring Cerina Vincent, this version has a number of differences. Erin Simms once again appears as the originally cast Maya, this time revealing Maya’s original costume! Rather than modernizing her look from Mirinoi as we saw in the aired series, this version of Maya customized a beige Terra Venture jumpsuit instead — presumably in a bid to better fit in on her new-found home, tearing off her now-frayed sleeves to make it her own. She is also shown to have a more difficult time acclimating to technology than her final on-screen iteration. Also getting to flex a different take on his character is Reggie Rolle, who plays Damon a little more loosely and laid back than in the reshoot — spinning in sync to his comment about having him “around.” Damon’s jumpsuit has added the abstract Terra Venture badge to the left chest, consistent with the rest of his team in this scene — each with a solid bar matching their Ranger color [including Maya]. Edit by @Kadams_Edits. Digitization & Archival by Power Rangers Media Info. Sponsored by M⚡️M Patreon Supporters like Morphin Master MintBari. Thank you for 800 Exhibits! Your sponsorships and one-off donations help fund our ongoing preservation efforts. Support us: #MorphinMuseum Exhibit 0800 ⚡️ Series: #PowerRangers Lost Galaxy Episode: Race to the Rescue Year: 1999](https://image.24vids.com/tw-1890793973662585065/ext_tw_video_thumb/1890785163946192896/pu/img/YvvtE23Bxu8s7raF.jpg)
![✨ I made a 100% AI video of a single night in 🇩🇪 Berlin's underground techno scene Doing an AI shoot is very much like a real life shoot, you have to prepare locations, settings, outfits and models, you can do the same: 1) First I generated photos with the [ 🇩🇪 Berlin nightlife ] photo pack on they're all non-existing AI people except me and my gf 2) Then I put the pics I liked in Kling AI to make them into 10 second videos (with Professional Mode), soon I'll have API access and it'll be one-click inside Photo AI to turn a photo into a 10-sec video, it then takes about 5 minutes to make a video. It's not always great, especially dancing is hard to get right! 3) Then I wanted to have a German narrator talking about Berlin's techno nights in a poetic way like a documentary, so I asked ChatGPT 4o: "write in the style of a cult German novelist about the Berlin techno scene" I then copied that text into Eleven Labs and selected a German AI voice 4) I then collected all the videos, the music and the audio narrator and edited them together in Final Cut Pro adding music from HÖR and adding audio effects 5) Then I added English captions with CapCut Time to make it: 3 hours for 1 minute of video I hope you like it! My dream is to have this entire pipeline in Photo AI at some point. Connecting to Kling AI's video API is the first step to that. Imagine just writing a prompt and you end up with a video like this without all the work Credits: Music: Asquith - Let Me (Rave Mix) [ASQ004] Barbax - Si Vis Pacem Para Bellum (Original Mix) Mixed by Ellen Allien @ HÖR Video: 100% AI characters and video by Photo AI Edited by me Narrator voice: 100% written by ChatGPT 4o 100% narrated by Eleven Labs AI voice](https://image.24vids.com/tw-1836017413650829587/ext_tw_video_thumb/1836016292328865792/pu/img/pZMR0VCR6sYaD8Vj.jpg)
