Qwen-Image-Edit-2511 — FP8 variants (img2img, RTX 5090)

Timings & VRAM

Variant CFG Steps Load Avg gen / img Peak VRAM Success
base (non-distilled) 4.0 50 56.1s 81.8s 22.28 GB 9 / 9
8-step distilled 1.0 8 59.3s 8.6s 22.27 GB 9 / 9
4-step distilled 1.0 4 50.7s 5.5s 22.27 GB 9 / 9

lightx2v fp8 DiT (per-channel W8A8 via ISK fp8_dense_gemm_sm120) + our fp8 Qwen2.5-VL-7B text encoder (196 decoder Linears; vision tower bf16). DiT self-attention via SageAttention (int8-QK / fp8-PV; ~3× vs torch FlashAttention). Same seed (0) and resolution (1024×1024) across variants. Per-variant — base (non-distilled): 50 steps, cfg 4.0; 8-step distilled: 8 steps, cfg 1.0; 4-step distilled: 4 steps, cfg 1.0. Drag the slider to compare A vs B.

example #01

Change the person to a standing position, bending over to hold the dog's front paws.

input:
vs

example #02

Replace the words 'HEALTH INSURANCE' on the letter blocks with 'Tomorrow will be better'.

input:
vs

example #04

Replace the polka-dot shirt with a light blue shirt.

input:
vs

example #05

Change the background to Antarctica.

input:
vs

example #06

Generate a cartoon profile picture of the person.

input:
vs

example #07

Remove the hair from the plate.

input:
vs

example #08

Transform the character in the image into an anime style, and add the text: "Accelerate image generation and editing with Lightx2V Qwen-Image-Lightning".

input:
vs

example #13

Make the girl from Image 1 wear the black dress from Image 2 and sit in the pose from Image 3.

inputs:
vs

example #14

Make the girl from Image 1 wear the necklace from Image 2 and carry the bag from Image 3 on her left shoulder.

inputs:
vs