HiDream-O1-Image VRAM requirements
A 2026 all-in-one 8.8B model built on Qwen3-VL: no separate text encoder and no VAE. It generates, edits and personalises up to 2048×2048.
01The files, and how much VRAM each needs
| File | Size | Needed | Min. VRAM | Quality | Source |
|---|---|---|---|---|---|
| 16-bit | 16.4 GB | 19.2 GB | 20 GB | the original weights | Comfy-Org/HiDream-O1-Image → |
| FP8 | 8.1 GB | 10.9 GB | 11 GB | practically identical to the original | Comfy-Org/HiDream-O1-Image → |
“Needed” = file + 2 GB working memory + 0.8 GB system reserve. The Comfy-Org files are complete checkpoints (loaded from the checkpoints folder); there is no separate text encoder or VAE to add. No GGUF version was found.
02By amount of VRAM
03Best GPU for HiDream-O1
The cheapest cards (by launch price) that run it well, and every card sorted by memory: best GPU for HiDream-O1 → Planning bigger images or longer clips? Open the calculator →
04By graphics card
| GPU | VRAM | Verdict | Best file | Needed |
|---|---|---|---|---|
| Desktop graphics cards | ||||
| RTX 2060 6 GB | 6 GB | Offload only | FP8 | 10.9 GB |
| RTX 3050 6 GB | 6 GB | Offload only | FP8 | 10.9 GB |
| RTX 2070 Super 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 2080 Super 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3050 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3060 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3060 Ti 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3070 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3070 Ti 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 4060 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 4060 Ti 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 5050 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 5060 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 5060 Ti 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 7600 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 9050 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 9060 XT 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| Arc B570 10 GB | 10 GB | Offload only | FP8 | 10.9 GB |
| RTX 3080 10 GB | 10 GB | Offload only | FP8 | 10.9 GB |
| RTX 2080 Ti 11 GB | 11 GB | Runs well | FP8 | 10.9 GB |
| Arc B580 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 2060 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 3060 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 3080 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 3080 Ti 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 4070 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 4070 Super 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 4070 Ti 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 5070 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RX 7700 XT 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RX 9070 GRE 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| Arc A770 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 4060 Ti 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 4070 Ti Super 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 4080 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 4080 Super 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 5060 Ti 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 5070 Ti 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 5080 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 7600 XT 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 7800 XT 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 7900 GRE 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 9060 XT 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 9070 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 9070 XT 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 7900 XT 20 GB | 20 GB | Runs well | 16-bit | 19.2 GB |
| Arc Pro B60 24 GB | 24 GB | Runs well | 16-bit | 19.2 GB |
| RTX 3090 24 GB | 24 GB | Runs well | 16-bit | 19.2 GB |
| RTX 3090 Ti 24 GB | 24 GB | Runs well | 16-bit | 19.2 GB |
| RTX 4090 24 GB | 24 GB | Runs well | 16-bit | 19.2 GB |
| RX 7900 XTX 24 GB | 24 GB | Runs well | 16-bit | 19.2 GB |
| Arc Pro B70 32 GB | 32 GB | Runs well | 16-bit | 19.2 GB |
| RTX 5090 32 GB | 32 GB | Runs well | 16-bit | 19.2 GB |
| Laptop GPUs | ||||
| RTX 3050 Laptop 4 GB | 4 GB | Not practical | FP8 | 10.9 GB |
| RTX 3050 Ti Laptop 4 GB | 4 GB | Not practical | FP8 | 10.9 GB |
| RTX 2060 Laptop 6 GB | 6 GB | Offload only | FP8 | 10.9 GB |
| RTX 3050 Laptop 6 GB | 6 GB | Offload only | FP8 | 10.9 GB |
| RTX 3060 Laptop 6 GB | 6 GB | Offload only | FP8 | 10.9 GB |
| RTX 4050 Laptop 6 GB | 6 GB | Offload only | FP8 | 10.9 GB |
| RTX 2070 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 2070 Super Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 2080 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 2080 Super Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3070 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3070 Ti Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 3080 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 4060 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 4070 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 5050 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 5060 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 5070 Laptop 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 7600M 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 7600M XT 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 7600S 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RX 7700S 8 GB | 8 GB | Offload only | FP8 | 10.9 GB |
| RTX 4080 Laptop 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 5070 Laptop 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 5070 Ti Laptop 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RX 7800M 12 GB | 12 GB | Runs well | FP8 | 10.9 GB |
| RTX 3080 Laptop 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 3080 Ti Laptop 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 4090 Laptop 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 5080 Laptop 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RX 7900M 16 GB | 16 GB | Runs well | FP8 | 10.9 GB |
| RTX 5090 Laptop 24 GB | 24 GB | Runs well | 16-bit | 19.2 GB |
| Unified memory | ||||
| Radeon 8060S (Strix Halo) 96 GB | 96 GB | Runs well | 16-bit | 19.2 GB |
| Radeon 8065S (Gorgon Halo) 160 GB | 160 GB | Runs well | 16-bit | 19.2 GB |
| Apple Silicon Macs (by memory) | ||||
| Mac 16 GB | 12.7 GB | Offload only | 16-bit | 19.2 GB |
| Mac 18 GB | 14.4 GB | Offload only | 16-bit | 19.2 GB |
| Mac 24 GB | 19.6 GB | Runs well | 16-bit | 19.2 GB |
| Mac 32 GB | 26.8 GB | Runs well | 16-bit | 19.2 GB |
| Mac 36 GB | 30.2 GB | Runs well | 16-bit | 19.2 GB |
| Mac 48 GB | 40.2 GB | Runs well | 16-bit | 19.2 GB |
| Mac 64 GB | 55.7 GB | Runs well | 16-bit | 19.2 GB |
| Mac 96 GB | 85 GB | Runs well | 16-bit | 19.2 GB |
| Mac 128 GB | 115.4 GB | Runs well | 16-bit | 19.2 GB |
| Mac 192 GB | 175.4 GB | Runs well | 16-bit | 19.2 GB |
| Mac 256 GB | 236.9 GB | Runs well | 16-bit | 19.2 GB |
| Mac 512 GB | 498.1 GB | Runs well | 16-bit | 19.2 GB |
05Text encoder, VAE and other files
This model has no separate text encoder: reading the prompt is built into the model itself, so its memory is already in the file sizes above.
06Where the files go in ComfyUI
| File | Folder | Loader node |
|---|---|---|
| The checkpoint (.safetensors) | ComfyUI/models/checkpoints | Load Checkpoint |
07Measured and reported results
No measured results yet. Send yours.
08Training a LoRA for HiDream-O1
No trainer documentation with a VRAM figure for this model was found yet. What the trainers say for other models →
09Every file tracked for HiDream-O1
| File | Type | Size | Repo |
|---|---|---|---|
| hidream_o1_image_bf16.safetensors (full) | BF16 | 16.37 GB | Comfy-Org/HiDream-O1-Image → |
| hidream_o1_image_dev_bf16.safetensors (dev) | BF16 | 16.37 GB | Comfy-Org/HiDream-O1-Image → |
| hidream_o1_image_mxfp8.safetensors (full) | MXFP8 | 8.92 GB | Comfy-Org/HiDream-O1-Image → |
| hidream_o1_image_dev_mxfp8.safetensors (dev) | MXFP8 | 8.92 GB | Comfy-Org/HiDream-O1-Image → |
| hidream_o1_image_fp8_scaled.safetensors (full) | FP8 | 8.07 GB | Comfy-Org/HiDream-O1-Image → |
| hidream_o1_image_dev_fp8_scaled.safetensors (dev) | FP8 | 8.07 GB | Comfy-Org/HiDream-O1-Image → |
| HiDream-O1-image-nvfp4-simple.safetensors (full) | NVFP4 | 6.94 GB | Hippotes/HiDream-O1-Image-quants → community quant, low downloads (~125/30d) |
| model.safetensors (full) | FP8 | 8.81 GB | drbaph/HiDream-O1-Image-FP8 → float8_e4m3fn mixed (norms/embeddings/heads kept higher precision); transformers format for Saganaki22/HiDream_O1-ComfyUI custom node, README says ~10 GB VRAM |
8.8B (HF API 8,804,887,792) unified pixel-space transformer built on Qwen3-VL architecture: no VAE, no external text encoder; T2I, instruction editing and subject personalization in one model, up to 2048x2048. Full = 50 steps CFG 5; Dev = 28 steps distilled (Dev-2604 update 2026-05-14). Native ComfyUI support (PR #13817, loads via checkpoints folder). No GGUF found on HF.