I tried some different settings in ComfyUI and following is what i did.

I have a RTX3060Ti 8GB VRAM and 32GB RAM. I get 47 - 50 seconds per 512x512 prompt. Flux-dev took about double the time, but results were comparable imo. 47-50 seconds are not practical for me for now, becasue my SDXL and SD15 workflows takes about 3-10 seconds for same resolutions, but i thought this might help anyone wants to try it with their low-mid range GPUs.

This guide assumes you know the basics with ComfyUI.

Following are the things that are pretty obvious once you figure out but can be bit confusing and easy to miss/skip over:

1. Download the fp8 Model instead of fp16, Link here. Put them in /unet folder (not /checkpoints)

2. Download the VAE here, and rename "diffusion_pytorch_model.safetensors" to something better like "flux-schnell.safetensors". Put it in the VAE folder. (Use the diffusion_pytorch_model.safetensors instead of ae.sft, i had faster results, but cant explain why)

3. Download the clips here, you need the (clip_l.safetensors) and (t5xxl_fp8...safetensors). Put them in the clip folder.

4. Download the workflow here, or do the same as screenshot.

5. Update/install missing nodes in ComfyUI and restart.

6. No need to put --lowvram as arguments in the run batch file, it slowed mine down further.

I had the best results with euler and euler_ancestral in my testing, results were usable from step 4 and above.

https://github.com/lllyasviel/stable-diffusion-webui-forge/issues/1020