Can the RX 7900 XTX 24 GB run FLUX.1 [schnell]?
Yes. Q8_0 fits on the RX 7900 XTX 24 GB with 9.0 GB to spare.
Q8_0 (12.7 GB) needs about 15.0 GB in use, so 9.0 GB of the 24 GB stays free: room for a larger image, a LoRA or a ControlNet.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | flux1-schnell-Q8_0.gguf Q8_0 · city96/FLUX.1-schnell-gguf | models/unet | 12.7 GB | Download → |
| Text encoder | t5xxl_fp8_e4m3fn.safetensors T5-XXL FP8 · comfyanonymous/flux_text_encoders | models/text_encoders | 4.9 GB | Download → |
| Text encoder | clip_l.safetensors CLIP-L · comfyanonymous/flux_text_encoders | models/text_encoders | 0.2 GB | Download → |
| VAE | ae.safetensors FLUX.1 VAE (ae) · Comfy-Org/Lumina_Image_2.0_Repackaged | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 18.2 GB | |||
Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: GGUF Q8_0 workflow (.json). Drag the file into ComfyUI. All workflows →
02Every FLUX.1 schnell file on 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · black-forest-labs | 23.8 GB | 26.1 GB | 2.1 GB too big | the original weights | Hugging Face → |
| Q8_0 ← GGUF · city96 | 12.7 GB | 15.0 GB | fits · 9.0 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Kijai | 11.9 GB | 14.2 GB | fits · 9.8 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · city96 | 9.8 GB | 12.1 GB | fits · 11.9 GB spare | very close to the original | Hugging Face → |
| Q5_K_S GGUF · city96 | 8.3 GB | 10.6 GB | fits · 13.4 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_S GGUF · city96 | 6.8 GB | 9.1 GB | fits · 14.9 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_S GGUF · city96 | 5.2 GB | 7.5 GB | fits · 16.5 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · city96 | 4.0 GB | 6.3 GB | fits · 17.7 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 1.5 GB of working memory for FLUX.1 schnell 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 FLUX.1 schnell 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 FLUX.1 schnell need?
Around 6.3 GB with the smallest file (Q2_K) and 14.2 GB with an 8-bit file (FP8). The full 16-bit file needs about 26.1 GB.
Which FLUX.1 schnell file should I download for the RX 7900 XTX 24 GB?
Q8_0 (12.7 GB) from city96/FLUX.1-schnell-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for FLUX.1 schnell on the RX 7900 XTX 24 GB?
Q8_0 (12.7 GB). The RX 7900 XTX 24 GB has no FP8 maths, so FP8 (11.9 GB) only saves memory and is a step further from the original.
How much do I need to download for FLUX.1 schnell on the RX 7900 XTX 24 GB?
18.2 GB: flux1-schnell-Q8_0.gguf, t5xxl_fp8_e4m3fn.safetensors, clip_l.safetensors, ae.safetensors.