Can the RTX 3080 10 GB run SCAIL-2 (character animation)?
Not entirely. Even Q4_K_M is 6.8 GB over 10 GB, so ComfyUI keeps part of it in system RAM.
The smallest sensible file, Q4_K_M (11.5 GB), needs about 16.8 GB - 6.8 GB more than RTX 3080 10 GB has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link - see the note below.
Also try the INT8 file (16.7 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →
01With more VRAM
With 24 GB you could run SCAIL-2 at 8-bit or better (Q8_0, 18.1 GB) with no offloading: for example on the RTX 4090 24 GB, RTX 3090 24 GB, RX 7900 XTX 24 GB.
What changes from the RTX 3080 10 GB to the RTX 3090 24 GB → · What changes from the RTX 3080 10 GB to the RTX 5070 Ti 16 GB →
02Every SCAIL-2 file on 10 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 32.8 GB | 38.1 GB | 28.1 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · vantagewithai | 18.1 GB | 23.4 GB | 13.4 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 17.7 GB | 23.0 GB | 13.0 GB too big | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 16.7 GB | 22.0 GB | 12.0 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · vantagewithai | 14.2 GB | 19.5 GB | 9.5 GB too big | very close to the original | Hugging Face → |
| Q5_K_M GGUF · vantagewithai | 13.0 GB | 18.3 GB | 8.3 GB too big | close; small differences in fine detail | Hugging Face → |
| Q4_K_M ← GGUF · vantagewithai | 11.5 GB | 16.8 GB | 6.8 GB too big | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · vantagewithai | 9.1 GB | 14.4 GB | 4.4 GB too big | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · vantagewithai | 7.3 GB | 12.6 GB | 2.6 GB too big | heavy loss; a last resort | Hugging Face → |
“Needed” adds 4.5 GB of working memory for SCAIL-2 and a 0.8 GB reserve. Sizes 2026-10-01.
03What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | wan2.1_14B_SCAIL_2-Q4_K_M.gguf Q4_K_M · vantagewithai/SCAIL-2-GGUF-ComfyUI | models/unet | 11.5 GB | Download → |
| Text encoder | umt5_xxl_fp8_e4m3fn_scaled.safetensors UMT5-XXL FP8 (scaled) · Comfy-Org/Wan_2.1_ComfyUI_repackaged | models/text_encoders | 6.7 GB | Download → |
| VAE | Wan2_1_VAE_bf16.safetensors Wan 2.1 VAE BF16 (Kijai) · Kijai/WanVideo_comfy | models/vae | 0.3 GB | Download → |
| Also needed | clip_vision_h.safetensors CLIP Vision H · Comfy-Org/Wan_2.1_ComfyUI_repackaged | models/clip_vision | 1.3 GB | Download → |
| Total download · keep about the same free on disk | 19.7 GB | |||
Alternatives: UMT5-XXL FP16 (11.4 GB). Only for some workflows: SAM 3.1 multiplex FP16 (segmentation) (1.7 GB, character-replacement workflow (masking)). Sizes from Hugging Face, 2026-10-01.
04Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run SCAIL-2 on a RTX 3080 10 GB, send your time per image and peak VRAM and it will appear here, credited.
05About the RTX 3080 10 GB
The RTX 3080 10 GB (Ampere) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain - Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.
10 GB GDDR6X · 320-bit · 760 GB/s · Ampere. Everything that runs on it →
06Questions
How much VRAM does SCAIL-2 need?
Around 12.6 GB with the smallest file (Q2_K) and 23.0 GB with an 8-bit file (FP8). The full 16-bit file needs about 38.1 GB.
Which SCAIL-2 file should I download for the RTX 3080 10 GB?
Q4_K_M (11.5 GB) from vantagewithai/SCAIL-2-GGUF-ComfyUI. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for SCAIL-2 on the RTX 3080 10 GB?
Q8_0 (18.1 GB). The RTX 3080 10 GB has no FP8 maths, so FP8 (17.7 GB) only saves memory and is a step further from the original.
How much do I need to download for SCAIL-2 on the RTX 3080 10 GB?
19.7 GB: wan2.1_14B_SCAIL_2-Q4_K_M.gguf, umt5_xxl_fp8_e4m3fn_scaled.safetensors, Wan2_1_VAE_bf16.safetensors, clip_vision_h.safetensors.