Abiray/Qwen-Image-2.1-viggle-4-steps-turbo-GGUF
text-to-image model by Abiray
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This repository contains optimized community GGUF quantizations of Viggle/Qwen-Image-2.1-viggle-turbo, an official 4-step distilled student model of Qwen-Image-2.1 trained by Viggle using Distribution Matching Distillation (DMD). These files were converted directly from the official full transformer weights (transformer/diffusionpytorchmodel.safetensors), allowing you to run near-instant 4-step image generation and image editing natively inside ComfyUI without needing to stack external LoRAs. Because this model is distilled with DMD, it requires specific inference parameters. Using standard diffusion parameters will degrade image quality or cause visual burn artifacts: All quants preserve high-precision FP32 attention normalization layers (normk, normq, textnorm) to eliminate NaN errors and color banding, alongside native BF16 patch input embeddings (imgin.weight). The M tiers retain 6-bit precision (Q6K) on critical…
Read the full model card ↗ · Preview checked 2026-10-30T12:54:29.866Z
Inside the original model card — Document outline
- Qwen-Image-2.1 Viggle Turbo GGUF (4-Step Distilled)
- ⚡ Critical Generation Rules
- 📦 Quantization Ladder
- 🛠️ Usage in ComfyUI
- 1. Requirements
- 2. Model Placement
- 3. Workflow Setup
- 🎨 Image Editing Instructions
- ⚠️ Notes & Limitations
- 📜 Credits & License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Abiray/Qwen-Image-2.1-viggle-4-steps-turbo-GGUF is a text-to-image model repository published by Abiray on Hugging Face. A library was not reported.
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
- Not reported
- Recent downloads (30 days)
- 69,314
- Cumulative likes
- 27
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-23T06:56:37.000Z
- Last modified
- 2026-09-23T09:32:01.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Viggle/Qwen-Image-2.1-viggle-turbo
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.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-28T06:48:52.160Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
stabilityai/stable-diffusion-xl-base-1.0
abenzerps/Qwen-Image-2.1-Uncensored-Quantized