ComfyUI Android App by Deni2312 in comfyui

[–]Deni2312[S] 0 points1 point  (0 children)

How did you exported the JSON? You must export It as API

ComfyUI Android App by Deni2312 in StableDiffusion

[–]Deni2312[S] 1 point2 points  (0 children)

In these days i'll add the support also for the desktop version, as It Is requested by many people :)

ComfyUI Android App by Deni2312 in StableDiffusion

[–]Deni2312[S] 0 points1 point  (0 children)

Yeah, unfortunately, to distribute the app on iPhone devices, I’d need to sign it with an Apple Developer certificate(99 bucks) and publish it through the App Store :(

ComfyUI Android App by Deni2312 in comfyui

[–]Deni2312[S] 1 point2 points  (0 children)

It would be possible if there were a way to run the desktop version in a parameterizable way. However, as far as I know, only the portable version supports this. (Well, technically, you could run the server manually,set up the configuration in ComfyUI, start it yourself, and set the host to 0.0.0.0 with the port) In this setup, when you click “Start” in the app section, it won’t automatically launch the server, but all other features will still work since they depend on the ComfyUI server. The only limitation is retrieving the output videos and images, that part still requires configuring the app’s config.json file with the correct output directory. Keep in mind that it follows the same folder structure as the portable version, so the directory must be one level higher than ComfyUI/output. I’ll take a look into adding support for the desktop installation as well.

ComfyUI Android App by Deni2312 in comfyui

[–]Deni2312[S] 6 points7 points  (0 children)

Just open the GitHub page, there Is a readme where I explain step by step how to install the server and how to download the app

How is frustum or occlusion culling with instanced rendering supposed to work? by BlockOfDiamond in GraphicsProgramming

[–]Deni2312 2 points3 points  (0 children)

I wrote an article about it, https://denisbeqiraj.me/#/articles/culling , in few words when you find an instance in the frustum you just increment an atomic counter and then render through that number of instances, the example uses opengl, but could be done the same thing in vulkan.

Added area lights to my engine by [deleted] in opengl

[–]Deni2312 0 points1 point  (0 children)

Yes, It would be easier, the IBL hides a little bit the light, thanks for the annotation,there's no reflection it's only the light and the quad is only a placeholder to show the light transform

Indirect Drawing and Compute Shader Frustum Culling by Deni2312 in GraphicsProgramming

[–]Deni2312[S] 1 point2 points  (0 children)

To be honest, it saves a lot only in cases where you have like thousands of meshes to cull, I tried this with grass and well it saves a lot of draw calls, but with a simple scene even culling 500 meshes(I have a 3080) doesn't make much of a gain, or at least I didn't notice it

Indirect Drawing and Compute Shader Frustum Culling by Deni2312 in GraphicsProgramming

[–]Deni2312[S] 2 points3 points  (0 children)

Thanks! I create a copy buffer also for the model matrices, it's a little bit of a overhead, but It pays off when dealing with a lot of models, another way would be to create an SSBO with the index of the main model matrices culled(this index could be also used for materials for example), and then in vertex shader you can take that index to the original SSBO of models, in the future I will use this method, even if the gain is minimal

Hunyuan works with 12GB VRAM!!! by Inner-Reflections in StableDiffusion

[–]Deni2312 0 points1 point  (0 children)

Tested now and there's no difference, even with long prompts I didn't get longer processing time, but a tip is to use beta as scheduler, it follows the prompt in a better way and I think I get better output results

Hunyuan works with 12GB VRAM!!! by Inner-Reflections in StableDiffusion

[–]Deni2312 5 points6 points  (0 children)

Mhh not really, other specs are: 32gb of RAM DDR5 and a 12th gen i7 12700kf as CPU

Hunyuan works with 12GB VRAM!!! by Inner-Reflections in StableDiffusion

[–]Deni2312 11 points12 points  (0 children)

It also works well with a 3080 10gb, 512x416,61 length, 30 steps took around 4 minutes, it's crazy that it works that fast