unsloth / text-to-image Open weights updated 6 months ago

ERNIE-Image-Turbo-GGUF

This is a GGUF quantized version of ERNIE-Image-Turbo. unsloth/ERNIE-Image-Turbo-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. - Important layers are upcasted to higher precision. - Uses tooling from ComfyUI-GGUF by city96.

Params
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Context
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Downloads 30d
112 K
Likes
231
Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 31 days
▲ 78 K in the last 30 days (232.1%)
153 K34 K
Sep 23Oct 3Oct 13Oct 23

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
ernie-image-turbo-Q3_K_S.gguf Q3_K_S 3.8 GB 4.7 GB ✅ Runs comfortably
ernie-image-turbo-UD-Q2_K.gguf Q2_K 4.0 GB 4.9 GB ✅ Runs comfortably
ernie-image-turbo-Q4_0.gguf Q4_0 4.8 GB 5.7 GB ✅ Runs comfortably
ernie-image-turbo-UD-Q3_K_M.gguf Q3_K_M 4.8 GB 5.8 GB ✅ Runs comfortably
ernie-image-turbo-Q4_K_S.gguf Q4_K_S 4.9 GB 5.9 GB ✅ Runs comfortably
ernie-image-turbo-Q4_1.gguf Q4_1 5.3 GB 6.3 GB ✅ Runs comfortably
ernie-image-turbo-UD-Q4_K_M.gguf Q4_K_M 5.8 GB 6.9 GB ✅ Runs comfortably
ernie-image-turbo-BF16.gguf GGUF 16.1 GB 18.2 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Licence
apache-2.0
First seen on the Hub
2026-04-14
Training datasets
undisclosed
Added to our catalog
2026-09-23
Compare with any text-to-image model