跳到正文
ModelScope· @ModelScope2022 · X·· 3 小时前AI 评分48
AI 导读

PrunaAI 发布 P-Q-Image-2.1 LoRA 适配器,将 Qwen-Image-2.1 的文生图与编辑压缩到六步,无需 CFG,生成速度最高提升 6.3 倍。

正文 · 原文

P-Q-Image-2.1 brings Qwen-Image-2.1 generation and editing down to six steps, with no CFG and up to 6.3× faster generation.
🤖 https://modelscope.ai/models/PrunaAI/P-Q-Image-2.1

⚡ Six steps, same workflow: The v0.2 LoRA adapters run on top of Qwen-Image-2.1 while keeping its base pipeline, text encoder, and VAE unchanged.
🖼️ Generate or edit: Use one adapter for text-to-image generation and single- or multi-image editing, with up to three reference images.
✨ Skip the separate prompt-upscaling pass: The 6-steps-upsampled variant incorporates prompt-upscaling benefits into the adapter, reducing end-to-end generation time from a short prompt.
🎛️ Choose the trade-off: Use 6-steps for behavior closer to the base model, or 6-steps-upsampled when prioritizing visual quality from concise prompts.
🛠️ Built for the Qwen stack: Start at 1024 × 1024 and use the matching six-step schedule. Higher resolutions may work, but were outside the adapter’s training coverage.
📜 Qwen Research License Agreement. This is a LoRA adapter, not a standalone model; it requires the Qwen-Image-2.1 base weights.

来源:ModelScope · x.com