PrunaAI turbo LoRAs can be used for editing/text-to-image
Current Viggle turbo LoRAs can be used for text-to-image

Current Best settings for Viggle/PrunaAI 4-step: er_sde/beta res_2s_ode/bong_tangent, 5-8 steps, cfg 1-2 (+ lenovo/zjourney refiner lora to remove some of the overbaked, high-contrast, yellow tint)

All examples are generated with 1.0 strength

I did not train, distill, or create the original Turbo LoRA weights. This model page provides only modified compatibility versions intended to let the remaining compatible LoRA adapters load with ComfyUI's built-in LoRA loader

Full credit for the original Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors belongs to the ViggleAI Team.
Full credit for the original p_qwen_image_2.1_5/8step_v0.1.safetensors belongs to the PrunaAI Team.

Viggle statement for v0.1: "Status: v0.1 preview, work in progress — this release still falls short of the base model. On complicated image editing (multi-reference composition, face swaps, identity-preserving edits, instructions with several constraints) it is clearly worse than the 40-step base model. Text-to-image at 4 steps is usable. We are still working on it and will update this repository as the distillation improves; treat the current weights as a preview, not a replacement for the base model."

PrunAI statement for v0.1: "Pruna-Qwen-Image-2.1 is a set of LoRA adapters that let Qwen-Image-2.1 generate and edit images in only 5 or 8 steps. The adapters load on top of the base model, so the pipeline, text encoder, and VAE stay unchanged. Training is based on DMD. Improved using Qwen.

v0.1: first release, work in progress. Pruna-Qwen-Image-2.1 does not yet match the visual quality of the base model. We are still improving the distillation and will update this repository as new versions become available."