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Can the Radeon 8060S (Strix Halo) 96 GB run HunyuanImage 2.1?

Yes. 16-bit fits on the Radeon 8060S (Strix Halo) 96 GB with 57.8 GB to spare.

Image model · 17B96 GB LPDDR5X (shared system memory) · 256-bit · 256 GB/s · RDNA 3.5Data 2026-10-01
Runs well
Yes, with room to spare.

16-bit (34.9 GB) needs about 38.2 GB in use, so 57.8 GB of the 96 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best file16-bit
File size34.9 GB
GPU memory needed~38.2 GB
Shared memory51 / 128 GB
Memory map · Radeon 8060S (Strix Halo) 96 GB38.2 GB / 96 GB
048 GB96 GB
Weights 16-bit · 34.9 GBWorking memory · 2.5 GBReserve · 0.8 GBFree · 57.8 GB

01What to download

PartFileFolderSize
Modelhunyuanimage2.1_bf16.safetensors
16-bit · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/diffusion_models34.9 GBDownload →
Text encoderqwen_2.5_vl_7b_fp8_scaled.safetensors
Qwen2.5-VL 7B FP8 · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/text_encoders9.4 GBDownload →
Text encoderbyt5_small_glyphxl_fp16.safetensors
ByT5 small Glyph-XL · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/text_encoders0.4 GBDownload →
VAEhunyuan_image_2.1_vae_fp16.safetensors
HunyuanImage 2.1 VAE · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/vae0.8 GBDownload →
Total download · keep about the same free on disk45.5 GB

Alternatives: Qwen2.5-VL 7B BF16 (16.6 GB). Sizes from Hugging Face, 2026-10-01.

Shared memory: about 51.5 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 HunyuanImage 2.1 file on 96 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · Comfy-Org
34.9 GB38.2 GBfits · 57.8 GB sparethe original weightsHugging Face →
Q8_0
GGUF · calcuis
19.8 GB23.1 GBfits · 72.9 GB sparepractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
17.4 GB20.7 GBfits · 75.3 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · calcuis
15.7 GB19.0 GBfits · 77.0 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · calcuis
13.4 GB16.7 GBfits · 79.3 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · calcuis
11.3 GB14.6 GBfits · 81.4 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · calcuis
9.8 GB13.1 GBfits · 82.9 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · calcuis
7.3 GB10.6 GBfits · 85.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 2.5 GB of working memory for HunyuanImage 2.1 and a 0.8 GB reserve. Sizes 2026-10-01.

03Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run HunyuanImage 2.1 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 HunyuanImage 2.1 need?

Around 10.6 GB with the smallest file (Q2_K) and 20.7 GB with an 8-bit file (FP8). The full 16-bit file needs about 38.2 GB.

Which HunyuanImage 2.1 file should I download for the Radeon 8060S (Strix Halo) 96 GB?

16-bit (34.9 GB) from Comfy-Org/HunyuanImage_2.1_ComfyUI.

FP8 or Q8_0 for HunyuanImage 2.1 on the Radeon 8060S (Strix Halo) 96 GB?

Q8_0 (19.8 GB). The Radeon 8060S (Strix Halo) 96 GB has no FP8 maths, so FP8 (17.4 GB) only saves memory and is a step further from the original.

How much do I need to download for HunyuanImage 2.1 on the Radeon 8060S (Strix Halo) 96 GB?

45.5 GB: hunyuanimage2.1_bf16.safetensors, qwen_2.5_vl_7b_fp8_scaled.safetensors, byt5_small_glyphxl_fp16.safetensors, hunyuan_image_2.1_vae_fp16.safetensors.