Can the Radeon 8060S (Strix Halo) 96 GB run Ideogram 4?
Yes. Q8_0 fits on the Radeon 8060S (Strix Halo) 96 GB with 73.4 GB to spare.
Q8_0 (10.1 GB (×2, both loaded)) needs about 22.6 GB in use, so 73.4 GB of the 96 GB stays free: room for a larger image, a LoRA or a ControlNet.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | ideogram4-transformer-q8_0.gguf main model Q8_0 · molbal/ideogram-4-gguf | models/unet | 10.1 GB | Download → |
| Model | ideogram4-unconditional_transformer-q8_0.gguf unconditional model, loaded together with the main one Q8_0 · molbal/ideogram-4-gguf | models/unet | 10.1 GB | Download → |
| Text encoder | qwen3vl_8b_fp8_scaled.safetensors Qwen3-VL 8B FP8 · Comfy-Org/Ideogram-4 | models/text_encoders | 10.6 GB | Download → |
| VAE | flux2-vae.safetensors FLUX.2 VAE · Comfy-Org/Ideogram-4 | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 31.2 GB | |||
Alternatives: Qwen3-VL 8B NVFP4 (6.3 GB). FP4 files are listed only as alternatives unless the GPU is an RTX 50 (Blackwell). Sizes from Hugging Face, 2026-10-01.
Shared memory: about 37.2 GB of your 128 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That leaves room, so nothing has to be swapped to disk. calculated
02Every Ideogram 4 file on 96 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| Q8_0 ← GGUF · molbal | 10.1 GB ×2 | 22.6 GB | fits · 73.4 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 9.3 GB ×2 | 20.9 GB | fits · 75.1 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 9.6 GB ×2 | 21.5 GB | fits · 74.5 GB spare | practically identical to the original | Hugging Face → |
| Q5_1 GGUF · molbal | 7.3 GB ×2 | 17.0 GB | fits · 79.0 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · molbal | 6.2 GB ×2 | 14.7 GB | fits · 81.3 GB spare | good; some loss in fine detail and text | Hugging Face → |
“Needed” adds 1.5 GB of working memory for Ideogram 4 and a 0.8 GB reserve. Sizes 2026-10-01. Needs two transformer files loaded together (main + unconditional). GGUF files need the molbal fork of ComfyUI-GGUF. No 16-bit weights were released.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Ideogram 4 on a Radeon 8060S (Strix Halo) 96 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the Radeon 8060S (Strix Halo) 96 GB
This is an integrated GPU that uses system memory. AMD states that up to 96 GB of the 128 GB can be set aside as graphics memory on Windows, which is why it can hold models no consumer graphics card can. The catch is speed: the GPU itself (40 compute units) is far smaller than a big desktop card, and its memory bandwidth is a fraction of one, so each step takes much longer. Treat the verdicts here as 'it fits', not 'it is fast'.
96 GB LPDDR5X (shared system memory) · 256-bit · 256 GB/s · RDNA 3.5. Everything that runs on it →
05Questions
How much VRAM does Ideogram 4 need?
Around 14.7 GB with the smallest file (Q4_1) and 20.9 GB with an 8-bit file (FP8).
Which Ideogram 4 file should I download for the Radeon 8060S (Strix Halo) 96 GB?
Q8_0 (10.1 GB) from molbal/ideogram-4-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Ideogram 4 on the Radeon 8060S (Strix Halo) 96 GB?
Q8_0 (10.1 GB). The Radeon 8060S (Strix Halo) 96 GB has no FP8 maths, so FP8 (9.3 GB) only saves memory and is a step further from the original.
How much do I need to download for Ideogram 4 on the Radeon 8060S (Strix Halo) 96 GB?
31.2 GB: ideogram4-transformer-q8_0.gguf, ideogram4-unconditional_transformer-q8_0.gguf, qwen3vl_8b_fp8_scaled.safetensors, flux2-vae.safetensors.