Neon cyberpunk street
Text-to-ImageA rainy neon-lit Tokyo street at night, reflections on wet asphalt, cinematic lighting, 35mm film look, highly detailed
Tip: Strong scene + lighting keywords work well for T2I.
Open-source · Alibaba Qwen family · ~2026-09-20
Qwen-Image-2.1 开源图生图 / 文生图统一模型指南
Everything you need for qwen image 2.1: what it is, key features, free demos, ready-to-copy prompts, and how to run it via Hugging Face, ComfyUI, or Alibaba Cloud Model Studio APIs.
Qwen-Image-2.1 (often searched as qwen image 2.1) is an open-source unified model for text-to-image generation and image editing from Alibaba's Qwen family. It was open-sourced around 2026-09-20.
The visual generation component is roughly 7B parameters with 32 Single-Stream DiT layers, positioned as a compact and efficient option for creators who want quality without a huge local footprint.
Official resources: GitHub, Hugging Face weights, Alibaba Cloud blog, and Model Studio API docs.
Start with the official Hugging Face Space — the primary free online demo. Optionally try Qwen Cloud try-ai (qwen-image-2.1-pro).
Download weights from Qwen/Qwen-Image-2.1 (also on ModelScope). Day-0 support includes Diffusers, ComfyUI, vLLM-Omni, and SGLang.
Use community/official Day-0 ComfyUI support to wire text-to-image and editing graphs locally. See the GitHub repo for the latest nodes and install notes.
For production throughput, Alibaba Cloud Model Studio exposes Pro and Turbo APIs. Read the official API reference. Cloud usage may incur costs — this site does not collect API keys.
Full walkthrough: How to use Qwen Image 2.1 step-by-step →
Ten starter prompts covering text-to-image, RGBA transparency, local editing, and try-on. Browse the full gallery on the prompts page.
A rainy neon-lit Tokyo street at night, reflections on wet asphalt, cinematic lighting, 35mm film look, highly detailed
Tip: Strong scene + lighting keywords work well for T2I.
Aerial view of a misty alpine lake at sunrise, pine forests, soft golden light, ultra-wide, peaceful atmosphere
Overhead flat-lay of a rustic brunch board: sourdough, avocado, berries, coffee, natural window light, shallow depth of field
A minimal flat vector app icon of a glowing indigo lotus flower, clean edges, solid shapes, isolated on transparent background, RGBA
Tip: Ask for transparent / RGBA when you need cutouts.
Cute cartoon fox mascot sticker, thick white outline, vibrant colors, die-cut sticker style, transparent background
Edit only the circled region: change the red car to a matte teal electric SUV, keep lighting, reflections, and background identical
Tip: Pair with circles/annotations/masks for local edits.
Replace the sky with a dramatic sunset (orange-purple gradients), keep buildings, people, and ground lighting consistent
Restyle this portrait into soft watercolor illustration while preserving facial identity, hair, and expression exactly
Dress the person in a tailored navy linen blazer over a white tee and olive chinos, natural fit, preserve face and body identity, studio softbox lighting
Tip: Use reference images for person + garment when available (up to 10 refs).
Add thin gold wire-frame glasses to the subject, realistic reflections, keep face identity and hairstyle unchanged
Qwen-Image-2.1 is an open-source unified text-to-image and image-editing model from Alibaba's Qwen family (open-sourced around 2026-09-20). Its visual generation component is about 7B parameters with 32 Single-Stream DiT layers, designed to be compact and efficient.
Model weights are available on Hugging Face and ModelScope for local/self-hosted use under the project's license. You can try a free online demo via the official Hugging Face Space. Alibaba Cloud Model Studio also offers Pro and Turbo APIs (cloud usage may be billed).
Highlights include native RGBA transparency, support for up to 10 reference images, local edits via circles/annotations/masks, stronger identity preservation, and improved typography and portraits. A Turbo variant targets roughly 8 denoising steps for faster generation.
Yes. It unifies generation and editing. You can guide local edits with masks or annotations, preserve identity across restyles, and use multiple reference images for tasks like virtual try-on.
Yes — native RGBA transparency is a key feature, useful for stickers, icons, packshots, and compositing without a separate matting step.
Official weights are on Hugging Face at Qwen/Qwen-Image-2.1 and on ModelScope. Day-0 support is available in Diffusers, ComfyUI, vLLM-Omni, and SGLang.
Turbo is optimized for speed (around 8 denoising steps). Pro + Turbo APIs are available on Alibaba Cloud Model Studio (announced around 2026-10-09). For free experimentation, start with the Hugging Face Space or local ComfyUI/Diffusers setups.
Open the official Hugging Face Space, grab a prompt from our gallery, and generate in minutes — no API key required for the Space demo.