Can the RX 9070 XT 16 GB run HiDream-I1 (Full)?
Download Q5_K_M (13.0 GB). With the model's working memory it needs about 15.8 GB, leaving 0.2 GB spare on 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.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | hidream-i1-full-Q5_K_M.gguf Q5_K_M · city96/HiDream-I1-Full-gguf | models/unet | 13.0 GB | Download → |
| Text encoder | t5xxl_fp8_e4m3fn_scaled.safetensors T5-XXL FP8 scaled · Comfy-Org/HiDream-I1_ComfyUI | models/text_encoders | 5.2 GB | Download → |
| Text encoder | clip_l_hidream.safetensors CLIP-L (HiDream) · Comfy-Org/HiDream-I1_ComfyUI | models/text_encoders | 0.2 GB | Download → |
| Text encoder | clip_g_hidream.safetensors CLIP-G (HiDream) · Comfy-Org/HiDream-I1_ComfyUI | models/text_encoders | 1.4 GB | Download → |
| Text encoder | llama_3.1_8b_instruct_fp8_scaled.safetensors Llama 3.1 8B Instruct FP8 · Comfy-Org/HiDream-I1_ComfyUI | models/text_encoders | 9.1 GB | Download → |
| VAE | ae.safetensors FLUX.1 VAE (ae) · Comfy-Org/HiDream-I1_ComfyUI | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 29.2 GB | |||
Alternatives: T5-XXL FP16 (9.8 GB). The 16-bit text encoder is a little more faithful; the smaller one is chosen here because it loads faster and needs less RAM. Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.
System RAM: 48 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 29.2 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 35.2 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated
02Every HiDream-I1 Full file on 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 34.2 GB | 37.0 GB | 21.0 GB too big | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 17.1 GB | 19.9 GB | 3.9 GB too big | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · city96 | 18.7 GB | 21.5 GB | 5.5 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · city96 | 14.7 GB | 17.5 GB | spills 1.5 GB | very close to the original | Hugging Face → |
| Q5_K_M ← GGUF · city96 | 13.0 GB | 15.8 GB | fits · 0.2 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · city96 | 11.5 GB | 14.3 GB | fits · 1.7 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · city96 | 8.8 GB | 11.6 GB | fits · 4.4 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · city96 | 6.6 GB | 9.4 GB | fits · 6.6 GB spare | heavy loss; a last resort | Hugging Face → |
Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 2 GB working memory for this model + 0.8 GB kept free for the system.
03The text encoder
CLIP-L + CLIP-G + T5-XXL + Llama 3.1 8B: 15.9 GB as FP8 (all four together: CLIP-L 0.25 + CLIP-G 1.39 + T5-XXL FP8 5.16 + Llama 3.1 8B FP8 9.08 GB). ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. On 16 GB the encoder itself is too big for VRAM, so let it run from system RAM: slower prompt encoding, same images.
04About this GPU
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+.
RX 9070 XT 16 GB: 16 GB GDDR6 · 256-bit · 640 GB/s · RDNA 4. Everything that runs on the RX 9070 XT 16 GB →
05What more VRAM would change
With 20 GB you could run HiDream-I1 Full at 8-bit or better (FP8, 17.1 GB) with no offloading.
06Measured 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.
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), counting working memory and a small system reserve. 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.
Is FP8 faster than GGUF on the RX 9070 XT 16 GB?
It can be. This GPU has FP8 hardware, and ComfyUI computes FP8 natively for files made for it (Comfy-Org's fp8_scaled files), or for any FP8 file with the --fast fp8_matrix_mult option. GGUF files are unpacked on the fly, which costs some speed.
How much do I need to download for HiDream-I1 Full on the RX 9070 XT 16 GB?
About 29.2 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 16 GB card, 48 GB of system RAM or more is recommended.