ideogram-4-gguf
Quantized GGUF diffusion transformer weights for Ideogram 4, converted from the original FP8 release for use with ComfyUI GGUF loader nodes.
Params
9.3 B
Context
—
Downloads 30d
94 K
Likes
10
Download history
daily snapshots · 51 days
▲ 275 in the last 30 days (0.3%)
94 K94 K
Oct 12Oct 22Nov 1Nov 10
94 K69 K
Sep 21Oct 8Oct 25Nov 10
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 |
|---|---|---|---|---|
| ideogram4-transformer-q4_0.gguf | Q4_0 | 5.6 GB | 8.1 GB | ✅ Runs comfortably |
| ideogram4-transformer-q4_1.gguf | Q4_1 | 6.2 GB | 8.7 GB | ✅ Runs comfortably |
| ideogram4-transformer-q5_0.gguf | Q5_0 | 6.8 GB | 9.3 GB | ✅ Runs comfortably |
| ideogram4-transformer-q5_1.gguf | Q5_1 | 7.3 GB | 10.0 GB | ✅ Runs comfortably |
| ideogram4-transformer-q8_0.gguf | Q8_0 | 10.1 GB | 13.0 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 9.3 B
- Licence
- other
- First seen on the Hub
- 2026-06-12
- Base model
- ideogram-4-fp8
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-21
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-to-image model