Qwen Image Lightning 8-Step v1.1 in ComfyUI | Fast AI Workflow for 8GB VRAM - video Dailymotion

Jean

Learn how to set up Qwen Image Lightning 8-Step v1.1 in ComfyUI for fast and high-quality AI image generation on 8GB VRAM. This full tutorial covers downloading the GGUF model, Text Encoder, and VAE, plus configuring Sage Attention, FP16 Accumulation, and Lightning LoRA. Perfect for creating detailed cyberpunk, neon city, or fantasy worlds with sharp text and flawless textures. Follow this guide for the ultimate ComfyUI workflow upgrade!   Watch the full tutorial here: https://youtu.be/7p23f-gDp4I   Tags:  ComfyUI, Qwen Image, AI tutorial, AI image generation, Qwen Lightning, GGUF model, AI workflow, 8GB VRAM, FP16 Accumulation, LoRA

Transcript

00:00Alright, let's get the Quen image model and its components set up in ComfyUI.

00:05We'll start by grabbing the main model files.

00:08Right now I'm on the ComfyUI examples page, but I'm going to navigate to Hugging Face.

00:14First up, the GGUF model.

00:16For 8GB VRAM, choose this option.

00:21Press Download.

00:27Now I'll click on the link for the text encoder model.

00:30And we'll do the same for the VAE.

00:47Okay, with all the models downloaded, let's get them organized in the correct ComfyUI folders.

00:52I'll navigate into my ComfyUI folder, Models, and then Diffusion Models.

01:02Then I'll drag the GGUF file into the Diffusion Models folder and paste it here.

01:11I'll open the Text Encoders folder and drag the Scaled Safe Tensors file into it.

01:22And finally, I'll go into the VAE folder and place the VAE Safe Tensors file there.

01:45All the models are in place.

01:57Now before we do anything else, I'll open the ComfyUI manager and click on Update All to make sure ComfyUI itself is completely up to date.

02:06I'll confirm the Restart to apply the updates.

02:12Now let's grab a sample workflow to get started.

02:26I'm going back to the Hugging Face page, and I'll click on the Example Workflows link.

02:35To download the workflow, I'll click Raw.

02:38Press Control and S to save the JSON file.

02:41Back in ComfyUI, I'll load that workflow by going to Workflow and Open.

02:54Select the workflow file.

03:04Okay, in the UNet loader, we are going to choose the GGUF file we just downloaded.

03:11For the Load VAE, we'll select the Quen image, VAE.

03:27And for the Load Clip, we'll click the FP8 Scaled Safe Tensors.

03:37It's time to test the workflow.

03:39I'm pasting in a cyberpunk-themed prompt.

03:49Now I'll click Run.

03:53And there we have it.

03:54The first image is generated successfully.

03:56I'm going to enter another similar prompt.

04:10While that's going on, let's check and see how much time it took to generate our last image.

04:17A little over eight minutes.

04:19Okay.

04:26While we're at it, to refresh the front-end preview images for your templates in ComfyUI,

04:38go into your main ComfyUI folder and run the update ComfyUI bat file.

04:45This will open a terminal window and automatically pull the latest updates from the ComfyUI repository,

04:52including front-end assets like template thumbnails.

04:55In case you don't see the latest ones.

04:57Back in ComfyUI with the update finished, a new image is ready.

05:03A wolf in a neon-drenched city.

05:06Looks great.

05:08I was testing out the CFG from 4.5 to 3.7

05:13and found that on 3.7 it generated the images in under four minutes without loss in quality.

05:19So for some reason my generations were all taking more than eight minutes to generate

05:37and decided to speed up the workflow.

05:39I included the Sage Attention and the FP16 accumulation along with Allura.

05:45Sage Attention makes image generation faster and lighter on VRAM.

05:49F-P16 accumulation speeds things up by using lower precision math.

05:56You can check the link for the video on how to install these in the description.

06:00Also, I'll include this workflow to make things easier.

06:03Allura Loader applies Allura file to your base model and controls how strongly it affects the image.

06:09Go back to the Hugging Face page and download the Quen Image Lightning LoRa

06:13and place this file into the LoRa's folder.

06:17Then update ComfyUI again.

06:19The Quen Image Lightning took 4 minutes, 42 seconds to generate.

06:29While the LightX2V took 3 minutes, 55 seconds to generate.

06:35These are while using the CFG at 3.7

06:37and the quality between them were still identical.

06:42I found that LightX2V released a new Quen Image Lightning 1.1 LoRa model on their Hugging Face page.

06:51Quen Image Lightning, 8 Steps V1, 0.1 is faster and more stable than V1.0 with smoother textures and less fuzziness.

07:01Compared to LightX2V, it keeps strong text clarity and realism.

07:07From here, you'll press Download.

07:11Click on ComfyUI, then Models and place the file into the LoRa's folder.

07:28Go back to your ComfyUI.

07:46Press Manager and update all.

07:48Go back to your ComfyUI.

07:49Go back to your ComfyUI.

07:50Go back to your ComfyUI.

07:51Now in the LoRa's Loader model, you'll notice the Quen Image Lightning 1.1 model.

08:18Choose this option.

08:21Now we'll press Run.

08:30Wow, look at the difference here.

08:32This took almost 8 minutes with the CFG at 3.7.

08:38The results are absolutely stunning.

08:41Every detail is razor sharp, and the image looks way cleaner and more polished than the 1.0 and LightX2V.

08:51Let's run another similar prompt.

09:06Just like the first, this second image came out flawless, crisp edges, vibrant colors, and every detail perfectly rendered.

09:16I decided to adjust the CFG to 4 for this generation.

09:22It took 7 minutes to generate.

09:24Let's see how long it take for the LightX2V to generate with the CFG at 4.

09:35So, having the CFG at 4 using the LightX2V brought the generation time back to 5 and a half minutes.

09:44I'm going to switch back to the 1.1 version and adjust the CFG to 4.5 and see the difference in results.

09:51You can see it takes 5 and a half minutes to generate them this way without losing any quality.

10:08So, comparing the LightX2V with the Quen image, Lightning 1.1, I would choose the Quen image Lightning 1.1 while having the CFG at 4.5.

10:21It brought the generation time to the same as the LightX2V while gaining a huge quality difference.

10:38For more tutorials like this, smash that subscribe button and stay tuned.

Qwen Image Lightning 8-Step v1.1 in ComfyUI | Fast AI Workflow for 8GB VRAM

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