Hello everyone. I am Dr. Furkan Gözükara. PhD Computer Engineer. SECourses is a dedicated YouTube channel for the following topics : Tech, AI, News, Science, Robotics, Singularity, ComfyUI, SwarmUI, ML, Artificial Intelligence, Humanoid Robots, Wan 2.2, FLUX, Krea, Qwen Image, VLMs, Stable Diffusion
Guys if I want to remove false letters and labels from a shirt for example , how do I prompt with flux fill dev so that it removes the letters and keeps the texture/ color of the shirt?
@Dr. Furkan Gözükara I've watched the tutorial on Flux Tools in SwarmUI, and I have a question.I see that you generate the image directly with the model, meaning you load canny.dev or redux.dev instead of the original Flux model. These are tools that, in theory, are compatible with the original Flux models. So, could I use flux-dev together with flux.redux to get the most out of it? Or is there something I'm not understanding?
For example, if I have a fine-tuned model with my face and I want to generate a character with my face in a specific pose, such as with open arms, how can I combine a depth image (using the depth tool) while also using my own fine-tuned model in SwarmUI?
@Furkan Gözükara SECourses what would be the way to kind of automate the flux finetuning process more? is there a way to create an image that has fixed flux version etc that you can just load up on cloud computer? this would not be possible with massed compute? with runpod? or is there a way to make this more automated.... not exactly sure how... but maybe with lambda from AWS? any idea?
haha... yeah I got a computer science degree and cloud certification but not sure yet which are the plattforms or tools to use.... so can tell me which are the suited plattforms for quick protoyping, also cheap would be good.... because it seems massed compute is cheapest but has super limited resources and you cannot upload prebaked images? Didnt have a look at how runpod works yet... Before somebody mentioned somehting about "replicate"....
I mean I could create an image for AWS instance.... then add api gateway, lambdas etc... but I have to look actually how much these gpus cost on AWS platform directly... will have a look tomorrow regarding pricing... but then I would need to create some kind of application with api running on the aws instance which then creates the images etc...
hmmm... yeah maybe the replicate api... then combine it with some other things... I guess there are also some turnkeysolutions for user interfaces.... Need to look a bit more
from replicate: Nvidia L40S GPU (gpu-l40s, $3.51/hr) Nvidia A100 GPU (gpu-a100-large, $5.04/hr) but it says the api use is billed per second
Kohya implemented this - https://github.com/kohya-ss/sd-scripts/pull/1864 can you please tell me how to start this in kohya. It will be a great factor to analyze how the lora or dreambooth is training.
Related #1856 #1858 #1165 #914 Original implementation by @rockerBOO Timestep validation implementation by @gesen2egee Updated implementation for sd3/flux by @hinablue I went through and tried to m...
trying to generate 4 images at the same time (using 4 L40) but it seems like it will only make 2 at a time?
If I leave OverQueue=1 (default) then 2 will generate exactly the same time, and then the next 2.
If I set OverQueue=0 then it still takes about 40 seconds before the fourth image starts to generate, so ends up taking just as much time. Like the first photo will be finished before the fourth one starts.
Shouldn't all 4 photos just start generating at the same time?
If I ask to generate 8 images at the same time, all 4 GPU's will run from the start like it should though...
Hi guys, I'm testing a new upscaler technique and I'd like your opinion on the result, what do you think? I'm going to send 2 images, one in 1024x768 and the other in 4096x3072 upscaler.
Does anyone use KLING AI paid memberships? I was looking to get yearly sub, but they change the deal dramatically just over the course of a day removing daily log in credits (which is basically x2 potential monthly generations) The reviews on reddit also indicate that the support is non existent and many people face problems with one sided deal changing and zero communication with clients