🍎Apple Die Hard Fan| 苹果骨灰粉
🤖GenAI Observer | GenAI观察者
👨🏻🎤Cutting Edge Tech Enthusiast | 科技爱好者
2. Key actions
3. Scene description: starting pose, mid-sequence body/hand movements over time, and ending pose
4. Dialogue/lyrics/sound effects at specific timestamps
2. Key actions
3. Scene description: starting pose, mid-sequence body/hand movements over time, and ending pose
4. Dialogue/lyrics/sound effects at specific timestamps
youtu.be/rxWNmzQpW2c
youtu.be/rxWNmzQpW2c
OWN THE BEAT is raw Brazilian Funk stripped to its essence — no melody, just command.
OWN THE BEAT is raw Brazilian Funk stripped to its essence — no melody, just command.
Apple and Google have signed a multi-year agreement: future Apple Foundation Models will be based on Gemini models and Google Cloud technology.
Apple and Google have signed a multi-year agreement: future Apple Foundation Models will be based on Gemini models and Google Cloud technology.
Dev-focused sample from Oculus DevTech. Fork it, swap languages, tune models, and build your own MR learning experiences. It’s a baseline to prototype commercial-grade features without starting from zero.
Github: github.com/oculus-sampl...
Dev-focused sample from Oculus DevTech. Fork it, swap languages, tune models, and build your own MR learning experiences. It’s a baseline to prototype commercial-grade features without starting from zero.
Github: github.com/oculus-sampl...
You’re learning in your actual environment, not a cartoon room. Roomscale + Hand Tracking + Voice = hands-free practice.
You’re learning in your actual environment, not a cartoon room. Roomscale + Hand Tracking + Voice = hands-free practice.
The app listens and judges pronunciation strictly. That’s useful for serious practice, even if it feels tough. Expect real-time feedback and progression into a “final level” with sharper visuals.
The app listens and judges pronunciation strictly. That’s useful for serious practice, even if it feels tough. Expect real-time feedback and progression into a “final level” with sharper visuals.
Spatial Lingo shows how mixed reality + AI can teach vocab by labeling your real world—now open-source.
Spatial Lingo shows how mixed reality + AI can teach vocab by labeling your real world—now open-source.
Use sref to steer aesthetic toward a target look while keeping your prompt. Handy for series consistency, brand vibes, or matching a particular artist’s feel.
Use sref to steer aesthetic toward a target look while keeping your prompt. Handy for series consistency, brand vibes, or matching a particular artist’s feel.
Niji 7 improves on complex, multi‑clause requests. It’s more literal with ordering and constraints, so you can stack attributes without losing key elements.
Niji 7 improves on complex, multi‑clause requests. It’s more literal with ordering and constraints, so you can stack attributes without losing key elements.
Better compliance with spatial cues (left/right), colors, counts. E.g., “red cube left, blue cube right” renders correctly more often, cutting prompt wrangling.
Better compliance with spatial cues (left/right), colors, counts. E.g., “red cube left, blue cube right” renders correctly more often, cutting prompt wrangling.
Sharper reflections and eye details reduce muddiness in faces and highlights. Expect fewer artifacts in glossy surfaces and more readable micro‑features—think eyelashes, irises, jewelry.
Sharper reflections and eye details reduce muddiness in faces and highlights. Expect fewer artifacts in glossy surfaces and more readable micro‑features—think eyelashes, irises, jewelry.
Coherency: major improvement vs prior Niji
Prompt following: stricter left/right, color, object placement
Compatibility: backwards support incl. –sv 4; use –niji 7 in Discord or “Version: Niji 7” on web
Coherency: major improvement vs prior Niji
Prompt following: stricter left/right, color, object placement
Compatibility: backwards support incl. –sv 4; use –niji 7 in Discord or “Version: Niji 7” on web
The latest Niji focuses on sharper eyes, tighter coherency, and better prompt adherence. It keeps legacy flags and adds sref tweaks for style control. After 18 months of training, this release targets fewer misses and more faithful outputs for anime creators.
The latest Niji focuses on sharper eyes, tighter coherency, and better prompt adherence. It keeps legacy flags and adds sref tweaks for style control. After 18 months of training, this release targets fewer misses and more faithful outputs for anime creators.