Guys, don't forget the Blender Market Sale! Save %25 off Thousands of Products! bit.ly/3IqQIJU Thank you for supporting channel in advance 🙏😉

Thanks for the recap!

didnt watch yet. but automatic uv unwrapping and retopology will shock me, because we obviously need it, nothing else.

Could one integrate a blender 3d image map and use it for lml language model learning large, so that 3d object identification could change ai machine learning models to process fluent 3d graphics, gifs, videos and keep consistency in (aperture mode)? ? Weitere Vorschläge ansehen Vorschlag 1 Yes, it is possible to integrate a Blender 3D image map and use it for LML language model learning large, so that 3D object identification could change AI machine learning models to process fluent 3D graphics, GIFs, videos, and keep consistency in aperture mode. Blender is a free and open-source 3D creation suite. It can be used to create 3D models, animations, and simulations. LML is a large language model from Google AI, trained on a massive dataset of text and code. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. By integrating a Blender 3D image map with LML, it would be possible to train the language model to identify 3D objects in images and videos. This would allow the language model to understand and process 3D graphics in a more fluent way. Additionally, the aperture mode would help to keep the consistency of the 3D graphics, regardless of the viewing angle. This would be a significant development in the field of AI, as it would allow for more realistic and immersive 3D experiences. It could also be used in a variety of applications, such as gaming, virtual reality, and augmented reality. Here are some of the benefits of integrating a Blender 3D image map with LML: Increased realism and immersion in 3D experiences Improved accuracy of 3D object identification Increased consistency of 3D graphics Wider range of applications for 3D graphics Of course, there are also some challenges that would need to be addressed in order to make this integration successful. For example, the language model would need to be trained on a large dataset of 3D images and videos. Additionally, the aperture mode would need to be carefully implemented in order to ensure that the 3D graphics are consistent regardless of the viewing angle. Overall, the integration of a Blender 3D image map with LML has the potential to be a significant development in the field of AI. It would allow for more realistic and immersive 3D experiences, and it could be used in a variety of applications. However, there are still some challenges that need to be addressed before this integration can be successful. Vorschlag 2 Yes, it is possible to integrate a Blender 3D image map with an LML language model to improve 3D object identification. Blender is a free and open-source 3D creation suite that can be used to create 3D models, animations, and simulations. LML language models are a type of large language model that are trained on a massive dataset of text and code. By integrating a Blender 3D image map with an LML language model, it is possible to teach the language model to recognize 3D objects in images and videos. This could be used to improve the accuracy of AI machine learning models that are used to process 3D graphics, gifs, and videos. In order to integrate a Blender 3D image map with an LML language model, you would need to first create the image map. This can be done by exporting a 3D scene from Blender as an image sequence. Once you have the image sequence, you can then use it to train the language model. There are a number of different ways to do this, but one common approach is to use a technique called transfer learning. Transfer learning involves taking a language model that has been trained on a large dataset of text and code and then fine-tuning it on a smaller dataset of 3D images. This can be done using a variety of different machine learning frameworks, such as TensorFlow or PyTorch. Once the language model has been trained, it can be used to identify 3D objects in images and videos. This can be done by feeding the language model an image or video and then asking it to identify the objects in the scene. The language model will then output a list of possible objects, along with the probability that each object is present in the scene. The use of Blender 3D image maps with LML language models has the potential to significantly improve the accuracy of AI machine learning models that are used to process 3D graphics, gifs, and videos. This could lead to a number of different applications, such as improved object recognition in self-driving cars, virtual reality, and augmented reality. Vorschlag 3 Yes, it is possible to integrate a Blender 3D image map and use it for LML language model learning large, so that 3D object identification could change AI machine learning models to process fluent 3D graphics, GIFs, videos, and keep consistency in (aperture mode). Blender is a free and open-source 3D creation suite. It can be used to create 3D models, animations, and even games. LML is a large language model (LLM) developed by Google AI. It is trained on a massive dataset of text and code, and can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. To integrate a Blender 3D image map with LML, you would need to first create the image map in Blender. This can be done by importing a 3D model into Blender and then creating a texture map for the model. The texture map should contain the 2D images that you want to use to represent the 3D model in LML. Once you have created the image map, you would need to save it as a PNG file. You can then use the PNG file as input to LML. LML will be able to identify the 3D objects in the image map and generate text descriptions of them. You can also use LML to process fluent 3D graphics, GIFs, and videos. To do this, you would need to convert the graphics, GIFs, or videos into a format that LML can understand. This can be done using a variety of tools, such as ffmpeg or Blender. Once you have converted the graphics, GIFs, or videos into a format that LML can understand, you can then use LML to generate text descriptions of them. LML will be able to identify the 3D objects in the graphics, GIFs, or videos and generate text descriptions of them. It is important to note that LML is still under development, and its ability to process 3D graphics, GIFs, and videos is not perfect. However, it is a promising technology that has the potential to revolutionize the way we interact with 3D content. Yes, it is possible to integrate a Blender 3D image map and use it for LML language model learning large, so that 3D object identification could change AI machine learning models to process fluent 3D graphics, GIFs, videos, and keep consistency in (aperture mode). Blender is a free and open-source 3D creation suite. It can be used to create 3D models, animations, and even games. LML is a large language model (LLM) developed by Google AI. It is trained on a massive dataset of text and code, and can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. To integrate a Blender 3D image map with LML, you would need to first create the image map in Blender. This can be done by importing a 3D model into Blender and then creating a texture map for the model. The texture map should contain the 2D images that you want to use to represent the 3D model in LML. Once you have created the image map, you would need to save it as a PNG file. You can then use the PNG file as input to LML. LML will be able to identify the 3D objects in the image map and generate text descriptions of them. You can also use LML to process fluent 3D graphics, GIFs, and videos. To do this, you would need to convert the graphics, GIFs, or videos into a format that LML can understand. This can be done using a variety of tools, such as ffmpeg or Blender. Once you have converted the graphics, GIFs, or videos into a format that LML can understand, you can then use LML to generate text descriptions of them. LML will be able to identify the 3D objects in the graphics, GIFs, or videos and generate text descriptions of them. It is important to note that LML is still under development, and its ability to process 3D graphics, GIFs, and videos is not perfect. However, it is a promising technology that has the potential to revolutionize the way we interact with 3D content. She's outta bubbly, chum The party is over now, alas Time for some water

Love it! 😍 Can't wait for AI that can generate meshes

Some people have great imaginations but cannot use 3D applications to bring their ideas to life. AI is a solution for individuals in this situation.

Thanks for the vid

I could get behind the idea of the ai texture generators for generating the extra channels, especially for a rough stage or concept setup, though what concerns me is where its sourcing the images from, like if its stuff willing submitted to be sampled from thats all fine but I hate the idea of it being sourced from anything potentially stolen as that part wont sit right for me.

On my third 8-hour day, trying to get Blender-Controlnet working. The creator is MIA and little resources.

epic

just wait a few years to write a script and the ai will generate an entire animation scene.

Super cool! These will help artists a lot!

There goes being skilled

Look guys: I know AI can steal jobs, and AI can be uncanny, but I legit think that for some generators (like the AI texture generator) can be a blessing in disguise, namely allowing us to kiss those aganoizing hours of reaching for the right, free, seamless texture goodbye

This channel needs an A.I voiceover😁

Great….You just revealed all my newest works flow to everyone! Haha

That is insane... on both sides of the equal sign....

i need a text to mesh ai addon

If you are lazy just install stable diffusion locally XD , joker!

hoh

NOOOOOOOOOOOOO

1

The video editing is distracting in this one.

say ai help u talking bro

whatever you're using to process your voice track is seriously pretty bad; the volume ramping up at the end of longer vowel-consonant sounds; I have to skip the video.

Huh, AI generator still shitty. Lest move forward calm)

AI is going to put millions upon millions out of work. I dont think Im going to participate in any of it. Best O luck though.

Some of those are a insult to any actual artist tbh. Not because of the "power" but because of how they were made, how the people behind them behave towards artists and co. On the other hand, to be honest Maya and 3ds Max still beat Blender especially in this sector (add-ons/plugins) and the plugins above besides of their controversial nature arent going to beat any of the amazing plugins and add-ons made for Maya or 3ds Max some of which are specifically and exclusively made for them.

All these comments so negative on AI... digital artist take work from traditional art now complaining they are being taken advantage of... all the while believe copyright helps artist not companies obtaining IP rights and locking out future artist via forms of art that where largely in public domains... in the words of Picasso "Art is Theft" and “Good artists copy, great artists steal.”

Stop using ai

Love your videos but recently have been noticing more AI related videos on channel. Bruh if you are planning in making videos promoting AI related videos, I have no problem unsubscribing the channel. I hope you get the point what I'm trying to say. Please do bring back the old content style you used to have before. Courses, addon... With some motivation videos... Leave this AI crap. Doesn't suits you as a artist❤😊

Even with all this hollywood can't make a decent product.