Arc B570 10 GB for local AI
Which image and video models run on the Arc B570 10 GB, which file to download for each, and how much VRAM they need.
VRAM10 GB
MemoryGDDR6
Bus160-bit
Bandwidth380 GB/s
ArchitectureBattlemage
Launched2025-01
Launch price$219
Runs well12 of 49
Specs: www.intel.com · launch: www.intel.com
01What runs on it
| Model | Verdict | Best file | Size | Needed |
|---|---|---|---|---|
| image models | ||||
| FLUX.1 [dev] | Runs | Q4_K_S | 6.8 GB | 9.1 GB |
| FLUX.1 [schnell] | Runs | Q4_K_S | 6.8 GB | 9.1 GB |
| FLUX.1 Kontext [dev] | Runs | Q4_K_M | 6.9 GB | 9.5 GB |
| FLUX.1 Krea [dev] | Runs | Q4_K_M | 6.9 GB | 9.2 GB |
| FLUX.1 Fill [dev] | Runs | Q4_K_S | 6.8 GB | 9.4 GB |
| FLUX.2 [dev] | Not practical | Q2_K | 12.9 GB | 16.2 GB |
| FLUX.2 [klein] 9B | Runs | Q5_K_M | 7.0 GB | 9.3 GB |
| FLUX.2 [klein] 4B | Runs well | 16-bit | 7.8 GB | 9.6 GB |
| Krea 2 (Turbo) | Tight | Q3_K_M | 6.0 GB | 8.6 GB |
| Qwen-Image | Tight | Q2_K | 7.1 GB | 9.9 GB |
| Qwen-Image-Edit (2511) | Offload only | Q2_K | 7.5 GB | 10.5 GB |
| Qwen-Image 2.1 | Runs well | Q8_0 | 7.6 GB | 9.9 GB |
| Z-Image Turbo | Runs well | Q8_0 | 7.2 GB | 9.2 GB |
| Z-Image (base) | Runs well | Q8_0 | 7.2 GB | 9.2 GB |
| Ideogram 4 | Offload only | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Offload only | Q5_1 | 8.6 GB | 11.2 GB |
| ERNIE-Image (Turbo) | Runs | Q6_K | 6.8 GB | 9.1 GB |
| HiDream-O1-Image | Offload only | FP8 | 8.1 GB | 10.9 GB |
| Mage-Flow (Microsoft) | Runs well | INT8 | 4.2 GB | 6.0 GB |
| Lumina Image 2.0 | Runs well | 16-bit | 5.2 GB | 7.0 GB |
| HiDream-I1 (Full) | Tight | Q2_K | 6.6 GB | 9.4 GB |
| HiDream-I1 (Dev) | Tight | Q2_K | 6.6 GB | 9.4 GB |
| Stable Diffusion 3.5 Large | Runs | Q5_1 | 6.3 GB | 8.6 GB |
| Stable Diffusion 3.5 Medium | Runs well | 16-bit | 5.1 GB | 6.9 GB |
| Chroma1-HD | Runs | Q6_K | 7.7 GB | 10.0 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 | Offload only | Q2_K | 7.3 GB | 10.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Offload only | Q3_K_M | 7.6 GB | 11.9 GB |
| Wan 2.1 T2V 1.3B | Runs well | 16-bit | 2.8 GB | 5.6 GB |
| Wan 2.1 I2V 14B 480P | Offload only | Q4_K_M | 11.3 GB | 15.6 GB |
| Wan 2.1 I2V 14B 720P | Offload only | Q4_K_M | 11.3 GB | 18.1 GB |
| Wan 2.1 VACE 14B | Offload only | Q4_K_M | 11.6 GB | 16.4 GB |
| Wan 2.2 T2V A14B | Tight | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 I2V A14B | Tight | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 TI2V 5B | Runs well | Q8_0 | 5.4 GB | 9.2 GB |
| Wan 2.2 Animate 14B | Offload only | Q2_K | 6.5 GB | 11.8 GB |
| Wan Animate 2 (14B) | Offload only | Q2_K | 6.5 GB | 11.8 GB |
| Wan 2.2 S2V 14B | Offload only | Q4_K_M | 13.9 GB | 18.7 GB |
| SCAIL-2 (character animation) | Offload only | Q4_K_M | 11.5 GB | 16.8 GB |
| HunyuanVideo (13B, original) | Offload only | Q3_K_M | 6.2 GB | 10.5 GB |
| LTX-Video 13B (0.9.8) | Tight | Q2_K | 4.7 GB | 9.0 GB |
| HunyuanVideo 1.5 | Runs | Q4_K_M | 5.1 GB | 9.4 GB |
| LTX-2 (19B) | Offload only | Q4_K_M | 12.8 GB | 17.6 GB |
| LTX-2.3 (22B) | Offload only | Q4_K_M | 14.3 GB | 19.1 GB |
| LTX-2.5 (22B) | Offload only | Q4_K_M | 15.1 GB | 19.9 GB |
| MiniMax H3 (33B) | Offload only | Q4_K_M | 19.9 GB | 25.7 GB |
| MiniMax H3 Pruned | Offload only | Q4_K_M | 11.6 GB | 17.4 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
No measured results yet. Send yours.