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-= Kemo Passion Studio =- This mod would never become true without Marc Knelsen moved to Bluesky and MelonSpeedruns. A huge huge huge thanks to you guys! Here's the new feature of ver2.0. [ Improvement ] 1. you can play as wolf link from the very beginning 2. the... show more
521,721 Aufrufe • vor 2 Jahren •via X (Twitter)
10 Kommentare
guess who's that voice?😼
@JVeigaAnim @elranno @MelonSpeedruns Thank you for giving me the chance to bring this beautiful buppy to life! What a hell of a challenge it was vocally, and yet so cool to explore just how expressive even the slightest grunts and exhales could be from a simple small change. Now we truly CAN breathe in the wild!~
@JVeigaAnim @elranno @MelonSpeedruns i just can't believe you really gave us all over 500 recordings, and every clip gives me goosebumps. especially that howling in pv😆 can't wait to play with the bran new voice! and i think in some level, we managed to bring revali back to totk, just like wolf link☺️ thank you...!
@elranno @MelonSpeedruns OOH PLEASE TELL ME YOU REPLACED THE WHISTLE FUNCTION WITH A WOLF HOWL!!!
@elranno @MelonSpeedruns will do😎
@elranno @MelonSpeedruns This is going to be on par, if not even better than the Cyberpunk Biosculpted Exotics mod, quality wise. Absolutely stellar work.
@elranno @MelonSpeedruns how does one use this, btw?
@elranno @MelonSpeedruns Heck yeah!! These improvements look amazing! I’m proud of you guys
@elranno @MelonSpeedruns The work y'all are doing is beyond phenominal. Thank you all so much!
@elranno @MelonSpeedruns 不穿衣服的时候真滴好米！好可爱！想😋
![= Kemo Passion Studio = You guys aware of the Extra Wolf Link v3.0 Armor mod developed by EzFastPaws, right？ After repeated discussions, Ez finally convinced me. We decided to integrate his mod and the new features he developed into Wolf Link. The updates in the future will also be released within Wolf Link. Big thanks to EzFastPaws' selfless dedication, now there's no more merge files, and no more recalculate RSTB to use all adapted armors! Even he stated that he doesn't mind whether he receives attentions or not, and the mod he submitted will no longer be updated, if you like these amazing armor compatibility by him, please save your like to Wolf Link, be sure to give his mod a big like! As always, here's the details of this update. [ New Features ] Integrated Extra Wolf Link v3.0 Armor mod Added no-config simplified version Added invisible quiver option Added invisible battery option Compatible with Yet Another Better Sages Mod Compatible with with Ridable Wolf Mod Compatible with with Zonai Link Mod [ Additional Adapted Armor Set By EzFastPaws ] Soldier armor Royal Guard armor Zora armor Stealth armor Yiga armor Fierce deity armor Froggy armor Climbing armor Mystic armor Ember armor Frostbite armor Korok mask Lightning helm Zant's helmet Tunic of Memories All divine beast helmets Armor of series [ Improvement ] Restored the tattoos on the body when wearing the Ancient Hero's Aspect Armor Restored the teardrop pattern on the face of the Charged Armor Adjusted the waist of some pants to fit the body better Added belts to all pants Made compatible with Ryujinx on Mac OS Optimized memory usage Updated the contents of the readme documentation [ Bug Fix ] Remove the low gravity feature from Charged armor set Fixed error when recalculate RTSB [Cradits] Marc Knelsen Akatobi cynocain MelonSpeedruns EzFastPaws draconteur HenryLittle TerenceYao [Download] Thank you for your continuous support!](https://image.24vids.com/tw-1792093834270450116/ext_tw_video_thumb/1792091553101701120/pu/img/0zDzYrvUkgXkOUFp.jpg)
![= Kemo Passion Studio = I can't believe it's already been 5 months since the release of Ver2.0. Now we have essentially achieved most of the features envisioned for the initial stages of the project, except for the rest armor and new voice. The development of this mod costs a lot of energy and time, we didn't expect to achieve this far. Thanks to everyone for your support. This is not the last version of this mod, we will continue working on remaining armor adaptations and voice packs. And I'm thrilled to see more and more like-minded individuals spontaneously getting involved in the development of the mod and its derivatives. Your participation has given the pupper endless possibilities. Thank you all guys! Meanwhile, a new plan has been initiated. in TotK, we still have more things want to do. please stay tuned for our future announcements. Here's the details of the update, enjoy!😋 [ New Features ] You can be natural You can choose the type of the pupper's buttock (twink / cake) You can force the unadopted clipping armor invisible You can swtich the color of beans Wolflink but BokobLink You can turn off the buff of cold resistance and running speed [ Additional Adopted Armor Set ] Archaic Warm Greaves Snow Boots Hylia Zonanium (Helm adaption is wip) Barbarian (Helm appearance is optional) Phyantom Ganon [ Improvement ] Wagging tail Enhanced expressiveness of facial expressions Now he has finger beans Improved details on legs and paws Added belt to adopted trousers Make barefoot walking sound while wearing armor [ Bug Fix ] Fixed some clipping issues with certain adapted armor (Hylia Rito Gerudo Charged) Fixed the issue of losing eyes expression when wearing the Ancient Hero's Aspect armor Corrected unnatural lighting on the waist and head Fixed hair curling and deformation issues Fixed incorrect display of the right arm in the ending scene Restored the damage bonus of bone weapons to standard values](https://image.24vids.com/tw-1779508886015558110/ext_tw_video_thumb/1779507933832945664/pu/img/OcuZuGzmPV-KV2YT.jpg)
![U-Net by hand ✍️ ~ 17 steps walkthrough below I consider U-Net as a key milestone in deep learning, the first image-to-image model that really worked! It came out of medical imaging, an unusual place, not from NeurIPS or CVPR or ACL. Now it is the backbone of diffusion models, which you see in almost all modern image generation models. I drew the network as a C so the matrix multiplication flows naturally down. Tilt your head to the right and it is a U again. 🤣 Goal: push a 3 x 16 image down to a 2 x 4 bottleneck and back out again, filling in every cell yourself. = 1. Given = An image of three channels, R, G and B, sixteen pixels wide, and every kernel the network will use. = 2. Convolution 1 = Let us slide the first kernel over the image. Each output is one multiply-and-add over a 2 x 3 window, and the result is the green feature map. = 3. Find the maxima = We circle the largest value in each 1 x 2 window. Circling first is worth the extra step: it is the pooling decision, made before anything is written down. = 4. Max pool 1 = Let us copy those maxima down. Sixteen columns become eight, and half the detail is gone for good. = 5. Convolution 2 = We convolve again with the second kernel, deeper into the contracting path. The feature map is blue now. = 6. Find the maxima again = Same move as step 3, on the blue map. = 7. Max pool 2 = Eight columns become four. = 8. The bottleneck = Let us convolve once more. This is the bottom of the U, a 2 x 4 block that is everything the network kept. = 9. Spread it out = We start back up. The transposed convolution writes each bottleneck value into a wider grid, leaving gaps between them. = 10. Transposed convolution 1 = Let us fill those gaps by convolving over the spread-out grid. Four columns become eight. = 11. The first skip = We copy the encoder's matching row straight across. This is the skip connection, and it is the whole reason a U-Net can recover detail that pooling threw away. = 12. Convolution with the skip = Let us convolve the upsampled features together with the copied ones. = 13. Spread it out again = Same as step 9, one level up. = 14. Transposed convolution 2 = Eight columns become sixteen, back to the width we started at. = 15. The second skip = The encoder's first feature map comes across, the one made before any pooling happened. = 16. Convolution and ReLU = We convolve, then cross out every negative and set it to zero. = 17. Output convolution = Let us apply the last kernel. Out comes R', G' and B', an image the same size as the one we started with. The outputs: R' = [3, 0, 7, 0, 7, 0, 17, 0, 3, 0, 9, 0, 2, 0, 6, 0] G' = [1, 20, 1, 10, 1, 12, 1, 19, 2, 5, 1, 11, 1, 3, 1, 7] B' = [4, 20, 8, 10, 8, 12, 18, 19, 5, 5, 10, 11, 3, 3, 7, 7] Congrats! You just calculated a U-Net by hand. 💾 Save this post!](https://image.24vids.com/tw-2081382845243691256/ext_tw_video_thumb/2081382802667249664/pu/img/n2gZcnKRYe9G781o.jpg)
![Asia has a well-stocked library of flood stories [1], including from Tibet [2] and China [3]. Siberian mammoths [4] and megaflood evidence from the Altai region [5] (attributed to ice-age glacial lake failures according to strictly uniformitarian dogma), and Mohenjo-Daro [6] offer an excellent fit with the ECDO predicted moment of inertia.[7] "According to the Tibetan traditions, the highlands of tibet, too, were flooded in a great cataclysm. The traditions of the Tibetans speak also of terrifying comets that caused great upheavals." [2] "In the days of Yahou the event occurred which separates the almost obliterated and very dim past of China from the period that is considered historical: China was overwhelmed by an immense catastrophe. 'At that time the miracle is said to have happened that the sun during a span of ten days did not set, the forests were ignited, and a multitude of abominable vermin was brought forth. [..] In the lifetime of Yao [Yahou] the sun did not set for ten full days and the entire land was flooded.' An immense way 'that reached the sky'fell down on the land of China. 'The water was well up on the high mountains and the foothills could not be seen at all.'"[2] Many more such accounts from this region can be found at reference [1]. [1] [2] [3] [4] [5] [6] [7]](https://image.24vids.com/tw-1821796735389237539/ext_tw_video_thumb/1821796286221213696/pu/img/VwEbZA97tstzh0jl.jpg)
