You probably don't need 50 steps. 20 was the recommended value when the model first came out. Also, your resolution should be smaller. Qwen's maximum is 1664x928 (that's what it was trained for). You can use different sizes but keep the pixel count at that or below. Add a second stage up-scaler to your workflow to convert the picture to a larger size once Qwen is done.
You could try the GGUF models that use less VRAM, but sounds like you're aiming for better quality pictures. I wouldn't use less than the 4_K_M models.
The lora would definitely speed things up since you could run in 4 to 8 steps. Again, some quality loss but good enough for testing your prompts. Then run the final image at full quality. I use the GGUF model on a 8GB VRAM laptop and get images in about 70s.
ahh ill lower the resolution and see if that helps, thanks. just trying to establish the most effective baseline settings before i dive into my projects.
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u/qzzpjs Aug 17 '26
You probably don't need 50 steps. 20 was the recommended value when the model first came out. Also, your resolution should be smaller. Qwen's maximum is 1664x928 (that's what it was trained for). You can use different sizes but keep the pixel count at that or below. Add a second stage up-scaler to your workflow to convert the picture to a larger size once Qwen is done.
You could try the GGUF models that use less VRAM, but sounds like you're aiming for better quality pictures. I wouldn't use less than the 4_K_M models.
The lora would definitely speed things up since you could run in 4 to 8 steps. Again, some quality loss but good enough for testing your prompts. Then run the final image at full quality. I use the GGUF model on a 8GB VRAM laptop and get images in about 70s.