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How to generate images in 8 steps with the official Turbo model with Awesome Qwen Image

Use Qwen's own 8-step checkpoint with CFG 1.0 for faster generation.

  • Content
  • Intermediate
  • 1 hour
  • From the README
  • Any agent

Authorization notice. Awesome Qwen Image is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA user who needs quicker image output and has a diffusers build that supports pipeline-configured sampling.

The problemThe base model's 40-step default is slow when you iterate on many prompts.

The outcomeImages generated in 8 steps with the sampling schedule built into the checkpoint.

What you need first

  • A runtime that matches the chosen entry point: Diffusers, ComfyUI, llama.cpp, or MLX on Apple Silicon
  • Enough disk space: the base text encoder alone is about 17.5 GB in BF16
  • A GPU with 8 to 12 GB VRAM for the INT4 ConvRot pack, or a Mac with Apple Silicon for MLX-4bit
  • Acceptance of the Qwen Research License that covers the base weights

Steps

  1. Open the Qwen/Qwen-Image-2.1-Turbo repo and confirm it is the official 8-step checkpoint with CFG 1.0.
  2. Check that your diffusers build supports pipeline-configured sampling, since the README says the checkpoint needs it.
  3. Load the Turbo weights so the pipeline configures the sampler itself.
  4. Generate with 8 steps and CFG 1.0.
  5. If you use ComfyUI instead, use the Image Model (Turbo) rows in the Comfy-Org table.

Prompt for your agent

Using wildminder/awesome-qwen-image, load Qwen/Qwen-Image-2.1-Turbo in a diffusers build that supports pipeline-configured sampling and generate one image in 8 steps with CFG 1.0 from the prompt <prompt>. Report the output path and the step and CFG values. Verify that the sampler was configured by the pipeline and not set by hand.

Caveat. The README says the Turbo checkpoint needs a diffusers build with pipeline-configured sampling, and it does not name the minimum version.

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