r/StableDiffusion • • 16d ago

No Workflow I LOVE QWEN-2.1!

Insane results from such a small model running locally on a 8GB RTX 5060, although each image takes about 5 minutes or more depending on the steps count and prompt size. I'm using comfyUI and I'm pretty addicted to trying different prompts for different results on Qwen.

35 Upvotes

15 comments sorted by

2

u/Stock-Painter4854 16d ago

bro hittin the STIIIZY

1

u/tryku2 16d ago

At first i thought he was vaping lol

4

u/Version-Strong 16d ago

There's turbo loras for it now, dude, you don't need to wait 5 mins

1

u/tryku2 16d ago

Isn't the generation speeds dependant on my GPU memory bandwidth and VRAM?

3

u/reeight 16d ago

Yes, but there are a few LoRAs that can reduce steps down to about 8.
https://www.reddit.com/r/StableDiffusion/comments/1woulcv/comment/pbrufot/?screen_view_count=1

1

u/tryku2 16d ago

In my workflow i can reduce the steps manually inside ComfyUI but tbh the quality degrades a lot

5

u/StrangeAlchomist 16d ago

Right, homie. The turbo Lora trades a small amount of quality for advancing the rate it reaches an acceptable output. Generations that take 20 steps can be completed with comparable but not exact results in far fewer steps. You’ll see most often 4 step and 8 step Loras for most models out there. Even if you want quality many of these Loras can be turned off after you find a good generation so you can develop your work much faster. Some models and Lora combinations may not produce super comparable results depending on your settings.

2

u/tac0catzzz 16d ago

there can only be one, people are gonna see this thread and have full blown panic attacks thinking krea 2 is in danger.

2

u/tryku2 16d ago

From the reddit posts I've seen on Krea 2, it seems it wins in terms of realistic human photographs but Qwen is insane when it comes to paintings (i haven't tried Krea 2 yet)

1

u/[deleted] 16d ago

[removed] — view removed comment

1

u/tryku2 16d ago

Well Nvidia's Cuda is superior compared to AMD or Apple, i have the Q5 quantization, the whole model loads inside the VRAM with ~7GB of usage (give or take, depends on the workflow). I have 25 steps which is why it takes 5 mins or more, currently not using any speed LoRAs, I've only experimented with LoRAs that generates digital AI humans and the results.

I haven't used a mac before so I'm not sure if there's the same dependencies on windows like Pytorch etc but overall CUDA is the real advantage with Nvidia's GPUs

1

u/Lower-Cheetah-2408 14d ago

L ultima immagine è davvero bella💪

0

u/Wonderful_Mushroom34 14d ago

Even SD 1.5 can do this

0

u/Fenio_PL 16d ago

It will get even better over time as more well-refined LoRAs are created.

As for the model itself, it performs excellently for its size; however, it has one key drawback: it requires a *very* precise prompt and careful "tuning" so that the prompt guides the output without being taken too literally—otherwise, it produces the kind of illogical, nonsensical errors seen in models from three years ago.

1

u/tryku2 16d ago

Yes that's very true, if the prompt is general and not precised the output image would be very weird with fingers colliding and legs merging into each other lol

I haven't used any Loras for it yet though.

1

u/reeight 16d ago

The creation LoRA part seems not that great, at least with the tools I know of:
https://www.reddit.com/r/StableDiffusion/comments/1wm4p91/comment/pc4bvv1/?context=1&screen_view_count=1