tinytensor/Qwen-Image 2.1 4-Step — 8GB VRAM (1024² in 20s)
LICENCE — IMPORTANT Qwen-Image 2.1 is released under the Qwen Research License Agreement: research and evaluation use only, not for commercial output. The licence says "FOR NON-COMMERCIAL PURPOSES ONLY", and commercial use requires a separate licence from Tongyi ([email protected]). If you need images you can sell, use Z-Image Turbo or MOSS-Image instead — both are Apache 2.0. The other workflows in my 8GB pack cover both of them. Qwen-Image 2.1 in 4 steps, running on an 8GB laptop GPU at 1024x1024 — about 20 seconds per image. Everything in this workflow is tuned for 8GB of
| Author / organization | tinytensor |
|---|---|
| Downloads | 32 (as reported by Civitai) |
| Likes | 1 |
| Task | text-to-image |
| Created | 30 October 2026 |
| Last updated at source | — |
Recent changes
- 30 Oct 2026 Description: Qwen-Image 2.1 in 4 steps, running on an 8GB laptop GPU at 1024x1024 — about 20 seconds per image. Everything in this workflow is tuned for 8GB of VRAM, not 24GB. WHAT YOU NEED ComfyUI (current build) + ComfyUI-GGUF qwen-image-2.1-UC-Q4_K_M → LICENCE — IMPORTANT Qwen-Image 2.1 is released under the Qwen Research License Agreement: research and evaluation use only, not for commercial output. The licence says "FOR NON-COMMERCIAL PURPOSES ONLY", and commercial use requires a separa
- 30 Oct 2026 Topics added workflowcomfyui, qwen image, 8gb, low vram
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Civitai and links to the original. Information may be incomplete or out of date. Last refreshed 30 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.