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Can the RX 9070 XT 16 GB run HiDream-I1 (Full)?

Not at full quality. The 16-bit and 8-bit files are too big for the RX 9070 XT 16 GB; the largest that fits is Q5_K_M (13.0 GB).

Image model · 17B16 GB GDDR6 · 256-bit · 640 GB/s · RDNA 4Data 2026-10-01
Runs
Yes, with a compressed file.

Q5_K_M (13.0 GB) fits with only 0.2 GB to spare (about 15.8 GB of 16 GB). Quality: close; small differences in fine detail. For better quality, Q6_K (14.7 GB) also runs, with about 1.5 GB spilling into system RAM - a little slower, still practical.

Best fileQ5_K_M
File size13.0 GB
VRAM needed~15.8 GB
System RAM48 GB+
Memory map · RX 9070 XT 16 GB15.8 GB / 16 GB
08 GB16 GB
Weights Q5_K_M · 13.0 GBWorking memory · 2.0 GBReserve · 0.8 GBFree · 0.2 GB

01What to download

PartFileFolderSize
Modelhidream-i1-full-Q5_K_M.gguf
Q5_K_M · city96/HiDream-I1-Full-gguf
models/unet13.0 GBDownload →
Text encodert5xxl_fp8_e4m3fn_scaled.safetensors
T5-XXL FP8 scaled · Comfy-Org/HiDream-I1_ComfyUI
models/text_encoders5.2 GBDownload →
Text encoderclip_l_hidream.safetensors
CLIP-L (HiDream) · Comfy-Org/HiDream-I1_ComfyUI
models/text_encoders0.2 GBDownload →
Text encoderclip_g_hidream.safetensors
CLIP-G (HiDream) · Comfy-Org/HiDream-I1_ComfyUI
models/text_encoders1.4 GBDownload →
Text encoderllama_3.1_8b_instruct_fp8_scaled.safetensors
Llama 3.1 8B Instruct FP8 · Comfy-Org/HiDream-I1_ComfyUI
models/text_encoders9.1 GBDownload →
VAEae.safetensors
FLUX.1 VAE (ae) · Comfy-Org/HiDream-I1_ComfyUI
models/vae0.3 GBDownload →
Total download · keep about the same free on disk29.2 GB

Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.

System RAM: 48 GB or more. These files take about 29.2 GB of RAM while loaded, 35.2 GB with Windows and ComfyUI. What happens with less. calculated

02Every HiDream-I1 Full file on 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
34.2 GB37.0 GB21.0 GB too bigthe original weightsHugging Face →
FP8
SAFETENSORS · Comfy-Org
17.1 GB19.9 GB3.9 GB too bigpractically identical to the originalHugging Face →
Q8_0
GGUF · city96
18.7 GB21.5 GB5.5 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
14.7 GB17.5 GBspills 1.5 GBvery close to the originalHugging Face →
Q5_K_M ←
GGUF · city96
13.0 GB15.8 GBfits · 0.2 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · city96
11.5 GB14.3 GBfits · 1.7 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · city96
8.8 GB11.6 GBfits · 4.4 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · city96
6.6 GB9.4 GBfits · 6.6 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 2 GB of working memory for HiDream-I1 Full and a 0.8 GB reserve. Sizes 2026-10-01.

03The text encoder

At 15.9 GB even the smallest CLIP-L + CLIP-G + T5-XXL + Llama 3.1 8B file is too big for 16 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: FP8 15.9 GB (all four together: CLIP-L 0.25 + CLIP-G 1.39 + T5-XXL FP8 5.16 + Llama 3.1 8B FP8 9.08 GB). Why the encoder does not count against VRAM →

04Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run HiDream-I1 Full on a RX 9070 XT 16 GB, send your time per image and peak VRAM and it will appear here, credited.

05With more VRAM

With 20 GB you could run HiDream-I1 Full at 8-bit or better (FP8, 17.1 GB) with no offloading.

06About the RX 9070 XT 16 GB

ComfyUI supports AMD GPUs on Windows officially since v0.7.0 (January 2026), through ROCm. Memory works the same as on NVIDIA, so the fit verdicts apply. Some custom nodes are NVIDIA-only. RX 9000 (RDNA 4) GPUs have FP8 hardware, and ComfyUI computes FP8 natively on them with PyTorch 2.7+ and ROCm 6.4+.

16 GB GDDR6 · 256-bit · 640 GB/s · RDNA 4. Everything that runs on it →

07Questions

How much VRAM does HiDream-I1 Full need?

Around 9.4 GB with the smallest file (Q2_K) and 19.9 GB with an 8-bit file (FP8). The full 16-bit file needs about 37.0 GB.

Which HiDream-I1 Full file should I download for the RX 9070 XT 16 GB?

Q5_K_M (13.0 GB) from city96/HiDream-I1-Full-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for HiDream-I1 Full on the RX 9070 XT 16 GB?

FP8 (17.1 GB): the RX 9070 XT 16 GB computes it natively, while Q8_0 (18.7 GB) is unpacked on the fly.

How much do I need to download for HiDream-I1 Full on the RX 9070 XT 16 GB?

29.2 GB: hidream-i1-full-Q5_K_M.gguf, t5xxl_fp8_e4m3fn_scaled.safetensors, clip_l_hidream.safetensors, clip_g_hidream.safetensors, llama_3.1_8b_instruct_fp8_scaled.safetensors, ae.safetensors.