I was doing a bunch of testing with Flux and Wan a few months back but kind of been out of the loop working on other things since. Just now starting to see what all updates I've missed. I also managed to get a 5090 yesterday and am excited for the extra vram headroom. I'm curious what other 5090 owners have been able to do with their cards that they couldn't do before. How far have you been able to push things? What sort of speed increases have you noticed?

I find that even with mutilple trajectories control it works well, there is no need to use ATI 14B at all.

The companies should interview Hollywood cinematographers, directors, camera operators , Dollie grips, etc. and establish an official prompt bible for every camera angle and movement. I’ve wasted too many credits on camera work that was misunderstood or ignored.

Hey! I received my 5090 yesterday and ofc was eager to test it on various gen ai tasks. There already were some reports from users on here, that said the driver issues and other compatibility issues are yet fixed, however, using Linux I had a divergent experience. While I already had pytorch 2.8 nightly installed, I needed the following to make Comfy work: * nvidia-open-dkms driver, as the standard proprietary driver is not compatible by now with 5xxx series (wow, just wow) * flash attn compiled from source * sage attn 2 compiled from source * xformers compiled from source

After that it finally generated its first image. However, I already prepared some "benchmarks" with a specific wan wf and the 4090 (and the old config proprietary driver etc.) in advance. So my wan wf took roughly 45s/it with the * 4090, * kijai nodes * wan2.1 720p fp8 * 37 blocks swapped * a res of 1024x832, * 81 frames, * automated cfg scheduling of 6 steps (4 at 5.5/2 at 1) and * causvid(v2) at 1.0 strength.

The thing that got me curious: It took the 5090 exactly the same amount of time. (45s/it) Which is..unfortunate regarding the price and additional power consumption. (+150Watts)

I haven't looked deeper into the problem because it was quite late. Did anyone experience the same and found a solution? I read that nvidias open driver "should" be as fast as the proprietary but I expect the performance issue here or in front of the monitor.

Hey I created a small set of free tools to help with image data set prep for LoRAs.

imgtinker.com

All tools run locally in the browser (no server side shenanigans, so your images stay on your machine)

So far I have:

Image Auto Tagger and Tag Manager:

Probably the most useful (and one I worked hardest on). It lets you run WD14 tagging directly in your browser (multithreaded w/ web workers). From there you can manage your tags (add, delete, search, etc.) and download your set after making the updates. If you already have a tagged set of images you can just drag/drop the images and txt files in and it'll handle them. The first load of this might be slow, but after that it'll cache the WD14 model for quick use next time.

Face Detection Sorter:

Uses face detection to sort images (so you can easily filter out images without faces). I found after ripping images from sites I'd get some without faces, so quick way to get them out.

Visual Deduplicator:

Removes image duplicates, and allows you to group images by "perceptual likeness". Basically, do the images look close to each other. Again, great for filtering data sets where you might have a bunch of pictures and want to remove a few that are too close to each other for training.

Image Color Fixer:

Bulk edit your images to adjust color & white balances. Freshen up your pics so they are crisp for training.

Hopefully the site works well and is useful to y'all! If you like them then share with friends. Any feedback also appreciated.

Hi everyone, I have been playing quite a bit with Flux Kontext model. I'm surprised to see it can do editing tasks to a great extent- earlier I used to do object removal with previous sd models and then do a bit of further steps till final image. With flux Kontext, the post cleaning steps have reduced drastically. In some cases, I didn't require any further edit. I also see online examples of zoom, straightening which is like a typical manual operation in Photoshop, now done by this model just by prompt.

I have been thinking about future for quite sometime- 1. Will these models be able to edit with only prompts in future? 2. If not, Does it lack the capabilities in AI research or access to the editing data as it can't be scraped from internet data? 3. Will editing become so easy that people may not need to hire editors?

Hey everyone!

I recently upgraded to a powerful PC with a 5090, and that kind of pushed me to explore beyond just gaming and basic coding. I started diving into local AI modeling and training, and image generation quickly pulled me in.

So far I’ve: - Installed SDXL, ComfyUI, and Kohya_ss - Trained a few custom LoRAs - Experimented with ControlNets - Gotten some pretty decent results after some trial and error

It’s been a fun ride, but now I’m looking to get more surgical and precise with my work. I’m not trying to commercialize anything, just experimenting and learning, but I’d really love to improve and better understand the techniques, workflows, and creative process behind more polished results.

Would love to hear: - What helped you level up? - Tips or tricks you wish you knew earlier? - How do you personally approach generation, prompting, or training?

Any insight or suggestions are welcome. Thanks in advance :)

I’ve been experimenting with stable diffusion and have seen prompts using :: as a break in their prompt.

Can someone please explain what exactly this does, and how to effectively use it? My understanding is that it is a hard break that essentially tells stable diffusion to process those parts of the prompt separately? Not sure if I am completely out of the loop with that thinking lol

Example - (red fox:1.2) :: forest :: grunge texture

Thank you!!

Hi, I was used to upscale my images pretty well with SDXL 2 years ago, however, when using Forge, the upscale gives me bad results, it often creates visible horizontal lines. Is there an ultimate guide on how to do that? I have 24gb of Vram. I tried Comfy UI but it gets very frustrating because of incompatibility with some custom nodes that breaks my installation. Also, I would like a simple UI to share the tool with my family. Thanks!

Hi, I’m using flux to do inpaints of faces with my character lora. (İ just use <segment:face> trigger word) Could I get some optimization tips ? Or is it just normal it takes X10 longer than a regular text to image with the same lora ? Thanks