ComfyUI Official
comfyanonymous
ComfyUI is a versatile graphical interface for building and managing complex Stable Diffusion workflows, utilizing a node-based system for enhanced user experience and flexibility.
87939
2025-09-09
Qwen Image 2512 Text to Image
Photography
Qwen
Qwen Image 2512
Text2Image
1
143
Qwen‑Image‑2512 is Alibaba Qwen’s latest open‑source text‑to‑image model update, focused on higher realism, better fine detail, and much stronger text/layout rendering than the earlier Qwen‑Image release.
What Qwen‑Image‑2512 is
It is a diffusion‑based text‑to‑image foundational model (December 2025 update) that significantly upgrades human realism, natural textures, and on‑image text quality.
Benchmarks and community tests place it at or near the top of open‑source image models, competitive with closed systems like Nano Banana Pro for many use cases.
Key strengths
Human realism: Much more natural skin, hair, and anatomy, reducing the “AI plastic” look common in earlier open models.
Finer natural detail: Detailed landscapes, water, foliage, animal fur, and complex materials (metal, fabric, glass) render with more believable micro‑structure.
Text and layout precision: Strong at multi‑line text, signage, posters, slides, and mixed text‑image layouts in Chinese and English, with better spelling and alignment.
Flexible sizes and speed: Supports custom width/height (commonly around 1024×1024 and aspect variants) and has “Lightning” variants for 4‑step ultra‑fast generation.
Usage patterns
General T2I: Concept art, photography‑style renders, character and environment design where realism and detailed textures are important.
Text‑heavy images: Posters, social graphics, UI mock shots, labels, and slides that need accurate, readable embedded text.
ComfyUI workflows: There is a native ComfyUI example with two subgraphs: a standard ~50‑step generation and a 4‑step Lightning LoRA path for fast drafts.
Why it matters in a workflow stack
As an open model with Apache‑2.0‑style licensing, Qwen‑Image‑2512 can be self‑hosted, fine‑tuned, and integrated into custom ComfyUI or backend pipelines, which is attractive compared to fully proprietary image systems.
For a workflow analyst, it fills the “high‑realism + strong text” open‑source slot alongside models like HunyuanImage 3.0, making it a good candidate when you need both visual fidelity and flexible deployment.
If you say what you want to focus on next—ComfyUI node setup, text‑heavy compositions, or realism / character pipelines—guidance can drill into that specific angle.
Read more
N
EXTENSIONS
Nodes & Models
Qwen‑Image‑2512 is Alibaba Qwen’s latest open‑source text‑to‑image model update, focused on higher realism, better fine detail, and much stronger text/layout rendering than the earlier Qwen‑Image release.
What Qwen‑Image‑2512 is
It is a diffusion‑based text‑to‑image foundational model (December 2025 update) that significantly upgrades human realism, natural textures, and on‑image text quality.
Benchmarks and community tests place it at or near the top of open‑source image models, competitive with closed systems like Nano Banana Pro for many use cases.
Key strengths
Human realism: Much more natural skin, hair, and anatomy, reducing the “AI plastic” look common in earlier open models.
Finer natural detail: Detailed landscapes, water, foliage, animal fur, and complex materials (metal, fabric, glass) render with more believable micro‑structure.
Text and layout precision: Strong at multi‑line text, signage, posters, slides, and mixed text‑image layouts in Chinese and English, with better spelling and alignment.
Flexible sizes and speed: Supports custom width/height (commonly around 1024×1024 and aspect variants) and has “Lightning” variants for 4‑step ultra‑fast generation.
Usage patterns
General T2I: Concept art, photography‑style renders, character and environment design where realism and detailed textures are important.
Text‑heavy images: Posters, social graphics, UI mock shots, labels, and slides that need accurate, readable embedded text.
ComfyUI workflows: There is a native ComfyUI example with two subgraphs: a standard ~50‑step generation and a 4‑step Lightning LoRA path for fast drafts.
Why it matters in a workflow stack
As an open model with Apache‑2.0‑style licensing, Qwen‑Image‑2512 can be self‑hosted, fine‑tuned, and integrated into custom ComfyUI or backend pipelines, which is attractive compared to fully proprietary image systems.
For a workflow analyst, it fills the “high‑realism + strong text” open‑source slot alongside models like HunyuanImage 3.0, making it a good candidate when you need both visual fidelity and flexible deployment.
If you say what you want to focus on next—ComfyUI node setup, text‑heavy compositions, or realism / character pipelines—guidance can drill into that specific angle.
Read more