Arc A770 16 GB for local AI
Which image and video models run on the Arc A770 16 GB, which file to download for each, and how much VRAM they need.
VRAM16 GB
MemoryGDDR6
Bus256-bit
Bandwidth560 GB/s
ArchitectureAlchemist
Launched2022-10
Launch price$349
Runs well25 of 49
Specs: www.intel.com · launch: game.intel.com
01What runs on it
| Model | Verdict | Best file | Size | Needed |
|---|---|---|---|---|
| image models | ||||
| FLUX.1 [dev] | Runs well | Q8_0 | 12.7 GB | 15.0 GB |
| FLUX.1 [schnell] | Runs well | Q8_0 | 12.7 GB | 15.0 GB |
| FLUX.1 Kontext [dev] | Runs well | Q8_0 | 12.7 GB | 15.3 GB |
| FLUX.1 Krea [dev] | Runs well | Q8_0 | 12.7 GB | 15.0 GB |
| FLUX.1 Fill [dev] | Runs well | Q8_0 | 12.7 GB | 15.3 GB |
| FLUX.2 [dev] | Offload only | Q2_K | 12.9 GB | 16.2 GB |
| FLUX.2 [klein] 9B | Runs well | Q8_0 | 10.0 GB | 12.3 GB |
| FLUX.2 [klein] 4B | Runs well | 16-bit | 7.8 GB | 9.6 GB |
| Krea 2 (Turbo) | Runs well | FP8 | 13.1 GB | 15.7 GB |
| Qwen-Image | Runs | Q4_K_M | 13.1 GB | 15.9 GB |
| Qwen-Image-Edit (2511) | Tight | Q3_K_M | 9.9 GB | 12.9 GB |
| Qwen-Image 2.1 | Runs well | Q8_0 | 7.6 GB | 9.9 GB |
| Z-Image Turbo | Runs well | 16-bit | 12.3 GB | 14.3 GB |
| Z-Image (base) | Runs well | 16-bit | 12.3 GB | 14.3 GB |
| Ideogram 4 | Runs | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Runs well | Q8_0 | 11.6 GB | 14.2 GB |
| ERNIE-Image (Turbo) | Runs well | Q8_0 | 8.7 GB | 11.0 GB |
| HiDream-O1-Image | Runs well | FP8 | 8.1 GB | 10.9 GB |
| Mage-Flow (Microsoft) | Runs well | 16-bit | 8.2 GB | 10.0 GB |
| Lumina Image 2.0 | Runs well | 16-bit | 5.2 GB | 7.0 GB |
| HiDream-I1 (Full) | Runs | Q5_K_M | 13.0 GB | 15.8 GB |
| HiDream-I1 (Dev) | Runs | Q5_K_M | 13.0 GB | 15.8 GB |
| Stable Diffusion 3.5 Large | Runs well | Q8_0 | 8.8 GB | 11.1 GB |
| Stable Diffusion 3.5 Medium | Runs well | 16-bit | 5.1 GB | 6.9 GB |
| Chroma1-HD | Runs well | Q8_0 | 9.7 GB | 12.0 GB |
| SDXL 1.0 | Runs well | 16-bit | 6.9 GB | 7.1 GB |
| Illustrious XL / Pony (SDXL anime) | Runs well | 16-bit | 6.9 GB | 7.1 GB |
| Stable Diffusion 1.5 | Runs well | 16-bit | 2.1 GB | 3.3 GB |
| HunyuanImage 2.1 | Runs | Q4_K_M | 11.3 GB | 14.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Runs | Q5_K_M | 11.3 GB | 15.6 GB |
| Wan 2.1 T2V 1.3B | Runs well | 16-bit | 2.8 GB | 5.6 GB |
| Wan 2.1 I2V 14B 480P | Runs | Q4_K_M | 11.3 GB | 15.6 GB |
| Wan 2.1 I2V 14B 720P | Tight | Q3_K_M | 8.6 GB | 15.4 GB |
| Wan 2.1 VACE 14B | Tight | Q3_K_S | 7.8 GB | 12.6 GB |
| Wan 2.2 T2V A14B | Runs | Q5_K_M | 10.8 GB | 15.1 GB |
| Wan 2.2 I2V A14B | Runs | Q5_K_M | 10.8 GB | 15.1 GB |
| Wan 2.2 TI2V 5B | Runs well | 16-bit | 10.0 GB | 13.8 GB |
| Wan 2.2 Animate 14B | Tight | Q3_K_M | 8.6 GB | 13.9 GB |
| Wan Animate 2 (14B) | Tight | Q3_K_M | 8.6 GB | 13.9 GB |
| Wan 2.2 S2V 14B | Tight | Q2_K | 9.5 GB | 14.3 GB |
| SCAIL-2 (character animation) | Tight | Q3_K_M | 9.1 GB | 14.4 GB |
| HunyuanVideo (13B, original) | Runs | Q6_K | 11.0 GB | 15.3 GB |
| LTX-Video 13B (0.9.8) | Runs | Q6_K | 10.9 GB | 15.2 GB |
| HunyuanVideo 1.5 | Runs well | Q8_0 | 9.0 GB | 13.3 GB |
| LTX-2 (19B) | Tight | Q3_K_M | 10.1 GB | 14.9 GB |
| LTX-2.3 (22B) | Tight | Q3_K_M | 10.8 GB | 15.6 GB |
| LTX-2.5 (22B) | Tight | Q2_K | 8.8 GB | 13.6 GB |
| MiniMax H3 (33B) | Offload only | Q4_K_M | 19.9 GB | 25.7 GB |
| MiniMax H3 Pruned | Tight | Q3_K_M | 8.9 GB | 14.7 GB |
Calculated from real file sizes plus working memory. How the numbers work.
02Good to know
Intel Arc GPUs run ComfyUI through PyTorch's native XPU support on Windows 11 and Linux. Memory works the same as on NVIDIA, so the fit verdicts apply. FP8 files save memory but give no speed-up, and some custom nodes are NVIDIA-only.
03Measured and reported results
| Label | Model | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|---|
| reported | FLUX.1 dev | fp8 (ComfyUI template) · 20 steps “20/20 [00:46<00:00, 2.33s/it] Prompt executed in 47.13 seconds” 'GPU Benchmark Flux DEV fp8' thread; Intel A770 on Fedora Linux, PyTorch 2.3.110+xpu (53.26 s with PyTorch nightly); resolution not stated | 47.13 s / image · 2.33 s/it | — | 2025-07-24 | github.com → |
| reported | SDXL | SDXL 1.0 base · 1024x1024 · 20 steps “20/20 [00:14<00:00, 1.36it/s] ... Prompt executed in 23.44 seconds” ACER A770 16GB; thread benchmark = SDXL 1024x1024 20 steps seed 1; later runs 1.53 it/s / 14.28 s | 23.44 s / image · 1.36 it/s | — | 2025-07-10 | github.com → |
Reported results are other people's numbers, copied as published, with a link. Settings, drivers and ComfyUI versions differ, so compare them with care. Send yours.