PrunaAI/P-Q-Image-2.1

text-to-image model by PrunaAI

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        ⚡ P-Q-Image-2.1 Few-step LoRA adapters for Qwen-Image-2.1 6 steps (v0.2), 5 or 8 steps (v0.1)  ·  Up to 6.3x faster  ·  No CFG  ·  Text-to-image and image editing 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. 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. 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…

PrunaAI/P-Q-Image-2.1 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T07:17:50.813Z

Inside the original model card — Document outline
  1. 6-step variants
  2. v0.1
  3. Prompts, editing, and resolution
  4. Quickstart
  5. v0.1
  6. Benchmarking
  7. v0.1
  8. For Text-to-Image
  9. For Image Editing
  10. Recommended settings
  11. v0.1 settings
  12. Limitations

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Model overview

PrunaAI/P-Q-Image-2.1 is a text-to-image model repository published by PrunaAI on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
diffusers
Recent downloads (30 days)
403,754
Cumulative likes
187
Hugging Face trending score
27
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-23T07:30:42.000Z
Last modified
2026-10-27T16:38:42.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen-Image-2.1

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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