Datasheet for local AI49 models98 GPUsData read 2026-09-25
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RX 7900 XTX 24 GB for local AI

Which image and video models run on the RX 7900 XTX 24 GB, which file to download for each, and how much VRAM they need.

AMD24 GB GDDR6 · 384-bit · 960 GB/s · RDNA 3Data 2026-09-25
VRAM24 GB
MemoryGDDR6
Bus384-bit
Bandwidth960 GB/s
ArchitectureRDNA 3
Launched2022-12
Launch price$999
Runs well43 of 49

Specs: www.amd.com · launch: en.wikipedia.org

01What runs on it

ModelVerdictBest fileSizeNeeded
image models
FLUX.1 [dev]Runs wellQ8_012.7 GB15.0 GB
FLUX.1 [schnell]Runs wellQ8_012.7 GB15.0 GB
FLUX.1 Kontext [dev]Runs wellQ8_012.7 GB15.3 GB
FLUX.1 Krea [dev]Runs wellQ8_012.7 GB15.0 GB
FLUX.1 Fill [dev]Runs wellQ8_012.7 GB15.3 GB
FLUX.2 [dev]RunsQ4_K_M20.1 GB23.4 GB
FLUX.2 [klein] 9BRuns well16-bit18.2 GB20.5 GB
FLUX.2 [klein] 4BRuns well16-bit7.8 GB9.6 GB
Krea 2 (Turbo)Runs wellQ8_013.7 GB16.3 GB
Qwen-ImageRuns wellFP820.4 GB23.2 GB
Qwen-Image-Edit (2511)Runs wellFP820.5 GB23.5 GB
Qwen-Image 2.1Runs well16-bit14.2 GB16.5 GB
Z-Image TurboRuns well16-bit12.3 GB14.3 GB
Z-Image (base)Runs well16-bit12.3 GB14.3 GB
Ideogram 4Runs wellQ8_010.1 GB22.6 GB
Boogu-Image (Turbo)Runs well16-bit20.6 GB23.2 GB
ERNIE-Image (Turbo)Runs well16-bit16.1 GB18.4 GB
HiDream-O1-ImageRuns well16-bit16.4 GB19.2 GB
Mage-Flow (Microsoft)Runs well16-bit8.2 GB10.0 GB
Lumina Image 2.0Runs well16-bit5.2 GB7.0 GB
HiDream-I1 (Full)Runs wellQ8_018.7 GB21.5 GB
HiDream-I1 (Dev)Runs wellQ8_018.7 GB21.5 GB
Stable Diffusion 3.5 LargeRuns well16-bit16.5 GB18.8 GB
Stable Diffusion 3.5 MediumRuns well16-bit5.1 GB6.9 GB
Chroma1-HDRuns well16-bit17.8 GB20.1 GB
SDXL 1.0Runs well16-bit6.9 GB7.1 GB
Illustrious XL / Pony (SDXL anime)Runs well16-bit6.9 GB7.1 GB
Stable Diffusion 1.5Runs well16-bit2.1 GB3.3 GB
HunyuanImage 2.1Runs wellQ8_019.8 GB23.1 GB
video models
Wan 2.1 T2V 14BRuns wellQ8_015.9 GB20.2 GB
Wan 2.1 T2V 1.3BRuns well16-bit2.8 GB5.6 GB
Wan 2.1 I2V 14B 480PRuns wellQ8_018.1 GB22.4 GB
Wan 2.1 I2V 14B 720PRuns wellFP816.4 GB23.2 GB
Wan 2.1 VACE 14BRuns wellQ8_018.7 GB23.5 GB
Wan 2.2 T2V A14BRuns wellQ8_015.4 GB19.7 GB
Wan 2.2 I2V A14BRuns wellQ8_015.4 GB19.7 GB
Wan 2.2 TI2V 5BRuns well16-bit10.0 GB13.8 GB
Wan 2.2 Animate 14BRuns wellFP817.3 GB22.6 GB
Wan Animate 2 (14B)Runs wellQ8_018.1 GB23.4 GB
Wan 2.2 S2V 14BRuns wellFP816.4 GB21.2 GB
SCAIL-2 (character animation)Runs wellQ8_018.1 GB23.4 GB
HunyuanVideo (13B, original)Runs wellQ8_014.0 GB18.3 GB
LTX-Video 13B (0.9.8)Runs wellQ8_014.0 GB18.3 GB
HunyuanVideo 1.5Runs well16-bit16.7 GB21.0 GB
LTX-2 (19B)RunsQ6_K16.0 GB20.8 GB
LTX-2.3 (22B)RunsQ6_K17.8 GB22.6 GB
LTX-2.5 (22B)RunsQ6_K18.7 GB23.5 GB
MiniMax H3 (33B)TightQ3_K_M15.6 GB21.4 GB
MiniMax H3 PrunedRunsQ6_K16.7 GB22.5 GB

Calculated from real file sizes plus working memory. How the numbers work.

02Good to know

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.

03Measured and reported results

LabelModelSetupResultPeak VRAMDateSource
reportedLTX-2.3ltx-2.3-22b-dev-fp8 + gemma_3_12B_it_fp4_mixed (I2V template) · 768x1280
“[INFO] Prompt executed in 197.38 seconds”
User QualiaSG, 64 GB RAM, ROCm 7.13, with --disable-dynamic-vram --disable-smart-memory --disable-pinned-memory (stalls without them); I2V template (distilled), 24 fps; comment dat
197.38 s / clip (121 frames)——github.com →
reportedWan 2.1 I2V 480Pwan2.1_i2v_480p_14B_fp8_scaled · 480x704 · 25 steps
“Wan2.1 i2v | 480×704 | 81 | 25 | ~40 min”
Windows 11, native ROCm 7.1, PYTORCH_NO_HIP_MEMORY_CACHING=1; approximate (~40 min = 2400 s); author notes slow vs CUDA
2400 s / clip (81 frames)—2026-04-05joshwaamein.github.io →

Reported results are other people's numbers, copied as published, with a link. Settings, drivers and ComfyUI versions differ, so compare them with care. Send yours.