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MiniMax-H3 360 equirectangular LoRA full-sphere equirectangular video - unwraps 360 with centre forward and edges rear - keeps native H3 audio plays as look-around sphere on Quest/DeoVR/Skybox/YouTube 360.

Wildminder

12,350 subscribers

14,949 просмотров • 19 дней назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 3

Фото профиля hectorvfx

hectorvfx19 дней назад

this is so damn cool!

Фото профиля ʟᴜʀᴋʏ

ʟᴜʀᴋʏ19 дней назад

Now make it stereoscopic 3d pls for vr

Фото профиля Anders Hjemdahl

Anders Hjemdahl19 дней назад

Very cool!

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MiniMax H3 is now live on Topview 🔥 We’re excited to partner with MiniMax Design (H3) MiniMax (official) to bring MiniMax H3 to creators. Native 2K, 15s clips, and stronger multimodal control across text, image, audio, and video. Only 30% of Seedance 2.0’s price. Ultra Annual users get 60 days unlimited.

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LMSYS Org

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13,363 просмотров • 9 месяцев назад

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11,416 просмотров • 1 год назад

The viral TikTok creator, @pstsolomonsolo gave a live rendition of one of his trending songs on ARISE 360 as he recalled the moment he walked past the school gallery and heard his students singing it. Pastor Solomon speaks with ARISE 360 anchors Oluwaseyitan Atigarin and Ikenna O. 👑. To watch the full interview, head over to The Arise News Channel on YouTube.

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16,186 просмотров • 2 месяцев назад

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Enze Xie

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ComfyUI

145,725 просмотров • 1 месяц назад

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DJI

21,604 просмотров • 11 месяцев назад

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MTS

55,187 просмотров • 2 месяцев назад

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سيف الدرعي| Saif alderei

17,860 просмотров • 5 месяцев назад

#WATCH | Over Elon Musk's tweet on Starlink, Union MoS Communications Dr Chandra Sekhar Pemmasani says, "As far as we are concerned, we don't have any issue from the DoT perspective, providing a provisional spectrum. But the MHA takes a 360-degree look at national interest and then grants a license. Not just for one satellite company; it is about all the satellite companies and the risks and advantages. About Rahul Gandhi, I want him to come up with his own clarity on what exactly he would like. Not being in the government, he may not have access to 360-degree intelligence of what's going on around the world. You look at any country; all countries are sovereign. They can make their decisions. In the same way, in India, we look at our 360 degrees. While we have a lot of respect for his technology, it's just a matter of time."

#WATCH | Over Elon Musk's tweet on Starlink, Union MoS Communications Dr Chandra Sekhar Pemmasani says, "As far as we are concerned, we don't have any issue from the DoT perspective, providing a provisional spectrum. But the MHA takes a 360-degree look at national interest and then grants a license. Not just for one satellite company; it is about all the satellite companies and the risks and advantages. About Rahul Gandhi, I want him to come up with his own clarity on what exactly he would like. Not being in the government, he may not have access to 360-degree intelligence of what's going on around the world. You look at any country; all countries are sovereign. They can make their decisions. In the same way, in India, we look at our 360 degrees. While we have a lot of respect for his technology, it's just a matter of time."

ANI

278,340 просмотров • 11 дней назад

Say hello to DreamX-Creator 1.0, a 7B native audio-video generator with local 2K refinement. Apache 2.0. 🤖 🏆 Delivers results comparable to much larger SOTA models like MiniMax H3 on Verse Bench, reaching 0.1351 DeSync after RL and 0.6930 VQ with the 2K Refiner. 🎬 Turn a first frame and prompt into synchronized video, dialogue, action sounds, ambience, weather, crowds, and music. No separate dubbing stage. 🔊 Gated Cross-Modal Attention lets sound and visuals shape each other, while modality-aware RL improves video, audio, and their alignment. ✨ The one-step 2K Refiner tops the compared refinement methods on MUSIQ (0.7073) and MANIQA (0.4382) while preserving motion and audio timing.

Say hello to DreamX-Creator 1.0, a 7B native audio-video generator with local 2K refinement. Apache 2.0. 🤖 🏆 Delivers results comparable to much larger SOTA models like MiniMax H3 on Verse Bench, reaching 0.1351 DeSync after RL and 0.6930 VQ with the 2K Refiner. 🎬 Turn a first frame and prompt into synchronized video, dialogue, action sounds, ambience, weather, crowds, and music. No separate dubbing stage. 🔊 Gated Cross-Modal Attention lets sound and visuals shape each other, while modality-aware RL improves video, audio, and their alignment. ✨ The one-step 2K Refiner tops the compared refinement methods on MUSIQ (0.7073) and MANIQA (0.4382) while preserving motion and audio timing.

ModelScope

31,067 просмотров • 1 месяц назад

$Nano Banana Pro can generate 360-degree visuals, so I wanted to test it. I built a small mini-project using Antigravity to test full 360° visuals. Prompt ⤵️, check the video fofr thanks for the prompt super inspired. { "image_meta": { "type": "360-degree Equirectangular Panorama Screenshot", "source_aesthetic": "Google Street View Interface", "platform": "Desktop Browser", "projection": "Full spherical equirectangular", "aspect_ratio": "2:1", "resolution": "Ultra-high resolution panoramic capture" }, "interface_overlay": { "top_left_panel": { "type": "Black info card", "text_content": "Troy (Ilion), Anatolia", "sub_text": "Google Street View - Approx. 12th century BC", "icons": "Back arrow, Location pin, Kebab menu" }, "search_bar": { "position": "Top left floating", "content": "Search Google Maps", "icons": "Hamburger menu, Magnifying glass, Directions arrow" }, "bottom_left": { "element": "Map inset widget", "style": "Ancient parchment-style minimap", "labels": "Troy Citadel, Scaean Gate", "icons": "Landmark pins, yellow humanoid pegman" }, "bottom_right": { "controls": "Zoom (+/-) buttons, Compass widget, Street View navigation arrows" }, "top_right": "Share button and Close (X) button pills" }, "scene_composition": { "location": "City of Troy, moments after the Trojan Horse is pulled inside the city walls", "camera_position": "Fixed at the exact center of the street", "camera_height": "Google Street View vehicle-mounted height (anachronistic)", "field_of_view": "360° horizontal, 180° vertical", "projection_behavior": "Correct equirectangular distortion near poles", "weather": "Clear daylight, calm atmosphere", "depth_of_field": "Infinite focus (deep focus across entire panorama)" }, "visual_elements": { "foreground": { "surface": "Stone-paved Bronze Age street with dirt, wear, and uneven stones", "markings": "No modern road markings", "shadows": "Hard daylight shadows wrapping naturally around the full 360 panorama" }, "midground_subjects": { "central_object": "Massive wooden Trojan Horse, visible from multiple angles across the panorama, detailed wood grain and rope bindings", "pedestrians": [ { "description": "Trojan civilians and soldiers positioned all around the camera", "attire": "Bronze Age tunics, leather sandals, simple armor", "action": "Standing, celebrating, observing the horse", "privacy_effect": "Faces blurred with modern Google Street View-style gaussian blur" } ], "architecture": { "walls": "High stone fortification walls of Troy surrounding the viewer", "buildings": "Ancient stone and mudbrick houses with flat roofs visible in all directions" } }, "environment": { "details": "Discarded shields, spears, ropes, and celebration debris scattered around the street", "sky": "Clear blue sky occupying the upper hemisphere of the panorama", "ground": "Stone street and dirt occupying the lower hemisphere", "atmosphere": "Calm, historically unaware of impending destruction" } }, "rendering_style": { "lighting": "Harsh natural midday sunlight", "color_grading": "Muted earth tones, realistic daylight balance", "texture_quality": { "description": "Digital Street View photography aesthetic", "artifacts": "Slight JPEG compression, mild over-sharpening", "stitching": "Seamless 360-degree panorama stitching, no visible seams" } }, "constraints": { "must_keep": [ "Google Maps UI overlay", "Street View spherical perspective", "Privacy blur on faces", "Trojan Horse clearly visible across multiple angles" ], "avoid": [ "Cinematic lighting", "Fantasy aesthetics", "Modern objects", "Clean UI-less photography", "Single-frame composition" ] }, "negative_prompt": [ "cinematic lighting", "fantasy art", "illustration", "painting", "modern city", "cars", "asphalt", "hdr", "depth blur", "clean photograph", "no ui", "frame", "border", "cropped view", "broken panorama seams" ] }$

Nano Banana Pro can generate 360-degree visuals, so I wanted to test it. I built a small mini-project using Antigravity to test full 360° visuals. Prompt ⤵️, check the video fofr thanks for the prompt super inspired. { "image_meta": { "type": "360-degree Equirectangular Panorama Screenshot", "source_aesthetic": "Google Street View Interface", "platform": "Desktop Browser", "projection": "Full spherical equirectangular", "aspect_ratio": "2:1", "resolution": "Ultra-high resolution panoramic capture" }, "interface_overlay": { "top_left_panel": { "type": "Black info card", "text_content": "Troy (Ilion), Anatolia", "sub_text": "Google Street View - Approx. 12th century BC", "icons": "Back arrow, Location pin, Kebab menu" }, "search_bar": { "position": "Top left floating", "content": "Search Google Maps", "icons": "Hamburger menu, Magnifying glass, Directions arrow" }, "bottom_left": { "element": "Map inset widget", "style": "Ancient parchment-style minimap", "labels": "Troy Citadel, Scaean Gate", "icons": "Landmark pins, yellow humanoid pegman" }, "bottom_right": { "controls": "Zoom (+/-) buttons, Compass widget, Street View navigation arrows" }, "top_right": "Share button and Close (X) button pills" }, "scene_composition": { "location": "City of Troy, moments after the Trojan Horse is pulled inside the city walls", "camera_position": "Fixed at the exact center of the street", "camera_height": "Google Street View vehicle-mounted height (anachronistic)", "field_of_view": "360° horizontal, 180° vertical", "projection_behavior": "Correct equirectangular distortion near poles", "weather": "Clear daylight, calm atmosphere", "depth_of_field": "Infinite focus (deep focus across entire panorama)" }, "visual_elements": { "foreground": { "surface": "Stone-paved Bronze Age street with dirt, wear, and uneven stones", "markings": "No modern road markings", "shadows": "Hard daylight shadows wrapping naturally around the full 360 panorama" }, "midground_subjects": { "central_object": "Massive wooden Trojan Horse, visible from multiple angles across the panorama, detailed wood grain and rope bindings", "pedestrians": [ { "description": "Trojan civilians and soldiers positioned all around the camera", "attire": "Bronze Age tunics, leather sandals, simple armor", "action": "Standing, celebrating, observing the horse", "privacy_effect": "Faces blurred with modern Google Street View-style gaussian blur" } ], "architecture": { "walls": "High stone fortification walls of Troy surrounding the viewer", "buildings": "Ancient stone and mudbrick houses with flat roofs visible in all directions" } }, "environment": { "details": "Discarded shields, spears, ropes, and celebration debris scattered around the street", "sky": "Clear blue sky occupying the upper hemisphere of the panorama", "ground": "Stone street and dirt occupying the lower hemisphere", "atmosphere": "Calm, historically unaware of impending destruction" } }, "rendering_style": { "lighting": "Harsh natural midday sunlight", "color_grading": "Muted earth tones, realistic daylight balance", "texture_quality": { "description": "Digital Street View photography aesthetic", "artifacts": "Slight JPEG compression, mild over-sharpening", "stitching": "Seamless 360-degree panorama stitching, no visible seams" } }, "constraints": { "must_keep": [ "Google Maps UI overlay", "Street View spherical perspective", "Privacy blur on faces", "Trojan Horse clearly visible across multiple angles" ], "avoid": [ "Cinematic lighting", "Fantasy aesthetics", "Modern objects", "Clean UI-less photography", "Single-frame composition" ] }, "negative_prompt": [ "cinematic lighting", "fantasy art", "illustration", "painting", "modern city", "cars", "asphalt", "hdr", "depth blur", "clean photograph", "no ui", "frame", "border", "cropped view", "broken panorama seams" ] }

Kaan

134,448 просмотров • 9 месяцев назад

OK so my Minimax H3 character swap LoRA has been trained to 1000 steps, and it's promising! It seems to hold the original video much more consistently than without the lora, including the original audio. However it falls short in a few ways: - Drifts from source in longer videos - Camera cuts turn into weird zooms or repositioning - Facial expressions don’t match well in close-ups I trained it on an RTX 4500 on Runpod overnight for around ~$11 but will need more VRAM for experimenting to get that 15s consistency. Also need to add more examples of videos with edits to have better edit-matching... and more expression-matching examples.... I've posted lora and dataset on huggingface for y'all either way: If anyone wants to throw me some X bucks or lend me their GPU I'll train it on a RTX 6000 Pro next 😁

OK so my Minimax H3 character swap LoRA has been trained to 1000 steps, and it's promising! It seems to hold the original video much more consistently than without the lora, including the original audio. However it falls short in a few ways: - Drifts from source in longer videos - Camera cuts turn into weird zooms or repositioning - Facial expressions don’t match well in close-ups I trained it on an RTX 4500 on Runpod overnight for around ~$11 but will need more VRAM for experimenting to get that 15s consistency. Also need to add more examples of videos with edits to have better edit-matching... and more expression-matching examples.... I've posted lora and dataset on huggingface for y'all either way: If anyone wants to throw me some X bucks or lend me their GPU I'll train it on a RTX 6000 Pro next 😁

akatz

35,350 просмотров • 25 дней назад

#Viggle is back with an open model — Viggle-Animate — and it’s pretty damn capable. For the first time, they’re releasing weights + code. It replaces characters in video using MiniMax H3. Take a video, grab one frame, manually redraw the character as anything you want, and the model propagates that replacement through the entire clip while preserving motion, camera, and timing. No pose skeleton, segmentation, face tracking, depth, or text prompt. Just the video + one modified frame. Under the hood: a 33.1B MiniMax H3 ref2va fine-tune + DMD2 LoRA. Distillation brings it down to 4 sampling steps. It’s 6× faster than Wan2.2-Animate-14B. The catch: hardware. BF16 needs ~62 GiB for the transformer and peaks at ~80.1 GiB VRAM. They recommend 96 GB+ or CPU offload. It reportedly runs on a 32 GB RTX 5090 via NVFP4, but that quant isn’t public yet. Also, you can’t use a normal character portrait. The reference has to be a frame from the original video, already redrawn as the target character. #ai #web3

#Viggle is back with an open model — Viggle-Animate — and it’s pretty damn capable. For the first time, they’re releasing weights + code. It replaces characters in video using MiniMax H3. Take a video, grab one frame, manually redraw the character as anything you want, and the model propagates that replacement through the entire clip while preserving motion, camera, and timing. No pose skeleton, segmentation, face tracking, depth, or text prompt. Just the video + one modified frame. Under the hood: a 33.1B MiniMax H3 ref2va fine-tune + DMD2 LoRA. Distillation brings it down to 4 sampling steps. It’s 6× faster than Wan2.2-Animate-14B. The catch: hardware. BF16 needs ~62 GiB for the transformer and peaks at ~80.1 GiB VRAM. They recommend 96 GB+ or CPU offload. It reportedly runs on a 32 GB RTX 5090 via NVFP4, but that quant isn’t public yet. Also, you can’t use a normal character portrait. The reference has to be a frame from the original video, already redrawn as the target character. #ai #web3

VORTEX: AI Bros & AI Arena, Peak AI Buzz

47,030 просмотров • 1 месяц назад