Can the RX 7900 XTX 24 GB run SCAIL-2 (character animation)?
Yes, but only just: Q8_0 leaves 0.6 GB free on the RX 7900 XTX 24 GB.
Q8_0 (18.1 GB) fits with only 0.6 GB to spare (about 23.4 GB of 24 GB).
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | wan2.1_14B_SCAIL_2-Q8_0.gguf Q8_0 · vantagewithai/SCAIL-2-GGUF-ComfyUI | models/unet | 18.1 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 | 26.4 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.
System RAM: 48 GB or more. These files take about 26.4 GB of RAM while loaded, 32.4 GB with Windows and ComfyUI. What happens with less. calculated
02Every SCAIL-2 file on 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 32.8 GB | 38.1 GB | 14.1 GB too big | the original weights | Hugging Face → |
| Q8_0 ← GGUF · vantagewithai | 18.1 GB | 23.4 GB | fits · 0.6 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 17.7 GB | 23.0 GB | fits · 1.0 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 16.7 GB | 22.0 GB | fits · 2.0 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · vantagewithai | 14.2 GB | 19.5 GB | fits · 4.5 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · vantagewithai | 13.0 GB | 18.3 GB | fits · 5.7 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · vantagewithai | 11.5 GB | 16.8 GB | fits · 7.2 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · vantagewithai | 9.1 GB | 14.4 GB | fits · 9.6 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · vantagewithai | 7.3 GB | 12.6 GB | fits · 11.4 GB spare | 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.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run SCAIL-2 on a RX 7900 XTX 24 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RX 7900 XTX 24 GB
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. RDNA 3 has no FP8 compute, so FP8 files save memory but give no speed-up.
24 GB GDDR6 · 384-bit · 960 GB/s · RDNA 3. Everything that runs on it →
05Questions
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 RX 7900 XTX 24 GB?
Q8_0 (18.1 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 RX 7900 XTX 24 GB?
Q8_0 (18.1 GB). The RX 7900 XTX 24 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 RX 7900 XTX 24 GB?
26.4 GB: wan2.1_14B_SCAIL_2-Q8_0.gguf, umt5_xxl_fp8_e4m3fn_scaled.safetensors, Wan2_1_VAE_bf16.safetensors, clip_vision_h.safetensors.