Qwen-Image-2.1-viggle-turbo
Built with Qwen. A few-step distilled version of Qwen/Qwen-Image-2.1 by Viggle. Text-to-image and instruction-driven editing with 1–3 reference images in 6 steps instead of 40, with no classifier-free guidance.
Params
7.1 B
Context
—
Downloads 30d
528 K
Likes
765
Download history
daily snapshots · 28 days528 K48 K
Sep 26Oct 5Oct 14Oct 23
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-Q4_K_M.gguf | Q4_K_M | 4.3 GB | 6.3 GB | ✅ Runs comfortably |
| Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-Q5_K_M.gguf | Q5_K_M | 5.1 GB | 7.2 GB | ✅ Runs comfortably |
| Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-Q6_K.gguf | Q6_K | 6.0 GB | 8.2 GB | ✅ Runs comfortably |
| Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-Q8_0.gguf | Q8_0 | 7.7 GB | 10.0 GB | ✅ Runs comfortably |
| model.safetensors | bf16 | 58.5 GB | 66.0 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 7.1 B
- Tensor type
- BF16
- Licence
- other
- First seen on the Hub
- 2026-09-22
- Base model
- Qwen-Image-2.1
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-26
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-to-image model