P-Q-Image-2.1
Official listing from Pruna AI. Same LoRA adapters as PrunaAI/P-Q-Image-2.1.
Few-step LoRA adapters for Qwen-Image-2.1
P-Q-Image-2.1 is a set of LoRA adapters that let Qwen/Qwen-Image-2.1 generate and edit images in only 6 steps (v0.2), or 5 or 8 steps (v0.1). The adapters load on top of the base model, so the pipeline, text encoder, and VAE stay unchanged.
v0.2: two new 6-step adapters.
An advanced distillation for more faithful generation and editing.
The first distillation removing need for prompt upsampling into the LoRA, thus significantly reducing end-to-end generation.
The v0.1 adapters remain available.
6-step variants
Pick 6-steps for faithful base-model behavior, or 6-steps-upsampled for improved visual quality from a short prompt, without a separate prompt-upsampling call.
| Variant | File | Steps | Trade-off |
|---|---|:---:|---|
| 6-steps | p_q_image_2.1_6_steps_v0.2.safetensors | 6 | Advanced distillation. Recommended for preserving inputs when editing. |
| 6-steps-upsampled | p_q_image_2.1_6_steps_upsampled_v0.2.safetensors | 6 | Improved visual quality, shorter end-to-end generation. The first distillation that removes the need for a separate prompt-upsampling step. |
6-steps is an advanced 6-step distillation of the base model. It is intended as a drop-in replacement for the base model in existing generation and editing workflows, using the adapter's step count and sigma schedule. It improves on the v0.1 adapters in almost all categories and is particularly good at editing tasks where preserving the input matters.
6-steps-upsampled distills the prompt upsampler recommended for Qwen-Image-2.1 into a 6-step LoRA. It improves visual quality without a separate prompt-upsampling call, which significantly reduces end-to-end generation time. It may not reproduce exactly what the actual prompt upsampler would do, and we will continue improving it.
v0.1
Both adapters are v0.1. Pick one based on whether you need quality or speed.
| Variant | File | Steps | Trade-off |
|---|---|:---:|---|
| 8-steps | p_q_image_2.1_8_steps_v0.1.safetensors | 8 | Higher quality. Recommended as the default. |
| 5-steps | p_q_image_2.1_5_steps_v0.1.safetensors | 5 | Higher speed, with noticeably lower visual quality. |
Each adapter is trained for its own sigma schedule. Load only one at a time. For the v0.2 adapters, do not reuse the v0.1 schedules.
Prompts, editing, and resolution
For 6-steps, use the same prompts and reference images you would use with the base model. For 6-steps-upsampled, start with your original prompt; the adapter is intended to capture the benefit of prompt upsampling during generation. Detailed prompts still let you specify the subject, setting, lighting, and style.
The adapters were trained at 1K resolution only, with a mix of simple and upsampled prompts, text-to-image generation, and single- and multi-image editing with up to 3 reference images. Prompt upsampling is optional; detailed prompts usually give better results.
Start at 1024 × 1024 and use at most 3 reference images for editing. Higher resolutions (including 2K) and more reference images may work, but are outside the training coverage, and quality may vary. The 2K timings below show inference speed, not a guarantee of quality at that resolution.
Quickstart & Benchmark
Check on: PrunaAI/P-Q-Image-2.1.
Limitations
- The 6-steps-upsampled adapter can improve visual quality without a separate prompt-upsampling call, but may not exactly reproduce the output of the actual prompt upsampler.
- 6-steps is intended to preserve the base model's behavior in fewer steps; distillation does not guarantee identical outputs.
- Use the step count and sigma schedule that match your v0.2 adapter. Other step counts, schedules, or CFG values are not supported.
<details>
<summary><b>Known limits of the 5–8 step adapters (v0.1)</b></summary>
v0.1
- This is a first version. Quality is below that of the base model.
- The 5-step adapter is faster than the 8-step one, but its images are visibly worse.
- Short or vague text-to-image prompts give weaker results.
- The adapters are only intended for the settings above. Other step counts, schedules, or CFG values are not supported.
What this is not
- Not a standalone model. It needs the Qwen/Qwen-Image-2.1 base weights.
- Not a replacement for the base model when you need its full quality.
- Not a finished release. Expect the weights to change in future versions.
License
The end distilled model is based on Qwen-Image-2.1.
P-Q-Image-2.1 is a derivative of Qwen-Image-2.1 and is distributed under the Qwen RESEARCH LICENSE AGREEMENT. Review its use restrictions before using or redistributing the adapters. See the live LICENSE and NOTICE.
Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.
What's next?
- Use P-Q-Image-2.1 to generate and edit images with Qwen-Image-2.1 in a few steps.
- Compress your own models with Pruna and give us a ⭐️ for more efficiency!
Description
Today, we open-source v0.2 of P-Q-Image-2.1, two new 6-step LoRA adapters for Qwen-Image-2.1 by Qwen. The first distillation that removes the prompt-upsampling step!
- 𝗛𝗼𝘄 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝘀 𝗶𝘁? Generate or edit images in just 6 steps instead of 40. Use 6-steps for preserving inputs when editing and 6-steps-upsampled for improved visual quality and shorter end-to-end generation.
- 𝗛𝗼𝘄 𝗴𝗼𝗼𝗱 𝗶𝘀 𝗶𝘁? 6-step distillation provides improved quality with few generation steps. 6-steps-upsampled is the first distillation that removes the need for a separate prompt-upsampling step. This means 41 to 80 seconds saved, depending on your prompt style.
- 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸? The LoRA adapters load directly on top of Qwen-Image-2.1, so the pipeline stays unchanged. Few-step distillation cuts the diffusion cost, and the upsampled adapter also removes the prompt-upsampling step before image generation.