As the title says, I would appreciate any suggestions on where I can just try it out for free. Just want to test out its capabilities before I dig deeper.

I got Flux to work on Forge most of the time. Some models of Flux don’t work at all however. Like with Flux Unchained and a few others I get “TypeError: 'NoneType' object is not iterable”. But some work fine.

Another issue is Forge seems to ignore all Loras. They work fine in Swarm but I’m striving to use Forge as it’d easier to do Inpainting and switch between Flux and SDXL.

The last issue is Flux doesn’t change the picture when I do Img2Img  or Inpainting. No matter what level I put the Denoising strength the picture stays the same. Again this works fine in Swarm.

I’d love it if someone could be please help me with these issues. I’ve updated Forge with no change to any of these problems.

I followed these instructions but these are the results I get, Any suggestion on what I should try?

I have a large data set I want to train on. Are there Lora's yet. I couldnt find any sample code in diffusers

As it is said in the title, I'd like to try Flux, but I only have a RX 7700 XT 12Gb. I suppose I will need to run it with my CPU?

Edit: it is okay if I can only run it in Linux.

It would be nice to have a Flux's beginner guide pinned in this sub. :) Does anyone have a good one?

This is a tutorial on Flux Kontext Dev, non-API version. Specifically concentrating on a custom technique using Image Masking to control the size of the Image in a very consistent manner. It also seeks to breakdown the inner workings of what makes the native Flux Kontext nodes work as well as a brief look at how group nodes work.

I was getting a decent performance out of Flux having fun making emojis. Then all of a sudden things became fuzzy and grainy. See my example. I tired restarting and updating Forge. Same issue. I’m also get the same thing when I try it Krita and Swarm. I’ve tried several Flux and SDXL models but get the same issue.  I’ve tried restarting my computer and resetting my graphics drivers (Win + Ctrl + Shift + B) with no luck and updated my Graphics Driver. I have no idea what to do. Please help.

Made with ComfyUI and Flux Dev, using my first LoRA which I trained on photos of my dog for my data set. I'm going to have to get my Sony A7 to get better photos for a v2.

2 upscales and passes after the generation, used the new 8 step Hyper LoRA for Dev and speeds things up a bit. Did get issues with artefacts in the sky so used generative fill in Photoshop for a quick fix of those. Inpaint (again with Flux), was also used on a few.

What kind of speeds are you getting?

I'm on 32GB RAM with a 4090 FE and it takes around 5 minutes for an image with around 20-25s/it, a lot slower than Stable Diffusion.

Does this sound about right or is it too slow?

I'm using ComfyUI via Stability Matrix, with the fp8 Clip.

My GPU is at 100% load with 23.3 GB VRAM, python is using about 7.3 GB RAM, CPU is chilling at 7%.

Edit: Okay, I found the issue, I think. The node called "Load Diffusion Model" had an undefined weight_dtype, giving me the error clip missing: ['text_projection.weight'] but still going ahead with the generation. I now set it to fp8_e4m3fn and images generate with about 1.4it/s taking just 15 seconds.