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README.md

@@ -332,7 +332,7 @@ pipe = LensPipeline.from_pretrained(
 image = pipe(
     prompt="A cat holding a sign that says hello world",
     base_resolution=1440, aspect_ratio="1:1",
-    num_inference_steps=20, guidance_scale=5.0,
+    num_inference_steps=50, guidance_scale=5.0,
     generator=torch.Generator("cuda").manual_seed(0),
 ).images[0]
 image.save("lens.png")
@@ -347,7 +347,7 @@ python inference.py \
     --repo_id "microsoft/Lens-Base" \
     --prompt "A cinematic mountain lake at sunrise, soft mist, detailed reflections" \
     --base_resolution 1440 --aspect_ratio 1:1 \
-    --steps 20 --cfg 5.0 --n 1 --seed 42 \
+    --steps 50 --cfg 5.0 --n 1 --seed 42 \
     --out ./outputs
 ```
 
@@ -356,13 +356,18 @@ python inference.py \
 ```bash
 python inference.py \
     --repo_id "microsoft/Lens-Base" \
+    --steps 50 --cfg 5.0 \
     --prompt "a red fox in snow|a glass greenhouse at night"
 ```
 
 **A100 / V100 (no MXFP4 kernels)** — dequantize the GPT-OSS encoder to bf16:
 
 ```bash
-python inference.py --repo_id "microsoft/Lens-Base" --prompt "a cat" --disable_mxfp4 --offload
+python inference.py \
+    --repo_id "microsoft/Lens-Base" \
+    --steps 50 --cfg 5.0 \
+    --prompt "a cat" \
+    --disable_mxfp4 --offload
 ```
 
 ### Options