Your first image¶
This walkthrough produces the hero image you see on the home page.
Code¶
from strands_sana import sana_generate
result = sana_generate(
prompt=("a majestic rubber duck wearing aviator goggles, "
"perched on a futuristic motorcycle in a cyberpunk neon-lit city, "
"raining, photorealistic, 8k, dramatic cinematic lighting"),
model="sana-1.5-1.6b-1024",
steps=20,
seed=42,
output_dir="./out",
)
print(result)
What happens¶
- Pipeline cache miss → downloads
Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers(~10 GB) on first run. - Loads the pipeline on best available device (
cuda→mps→cpu). - Runs 20 denoising steps with
flow_match_eulerscheduler. - Saves PNG to
./out/sana_<timestamp>.png.
{
"status": "success",
"path": "./out/sana_1779038153007.png",
"model": "sana-1.5-1.6b-1024",
"kind": "t2i",
"prompt": "...",
"width": 1024,
"height": 1024,
"count": 1
}
Result¶
→ Want it 10× faster? See Sana-Sprint.