diff --git a/examples/stable_diffusion.py b/examples/stable_diffusion.py
index a5e6e3b02c..87e4bcaa81 100644
--- a/examples/stable_diffusion.py
+++ b/examples/stable_diffusion.py
@@ -9,7 +9,7 @@ from collections import namedtuple
 from PIL import Image
 import numpy as np
 from tinygrad import Device, GlobalCounters, dtypes, Tensor, TinyJit
-from tinygrad.helpers import Timing, Context, getenv, fetch, colored, tqdm
+from tinygrad.helpers import Timing, Context, getenv, fetch, colored, tqdm, THREEFRY
 from tinygrad.nn import Conv2d, Linear, GroupNorm, LayerNorm, Embedding
 from tinygrad.nn.state import torch_load, load_state_dict, get_state_dict
 
@@ -643,7 +643,7 @@ if __name__ == "__main__":
   if not args.noshow: im.show()
 
   # validation!
-  if args.prompt == default_prompt and args.steps == 10 and args.seed == 0 and args.guidance == 7.5:
+  if args.prompt == default_prompt and args.steps == 10 and args.seed == 0 and args.guidance == 7.5 and THREEFRY:
     ref_image = Tensor(np.array(Image.open(Path(__file__).parent / "stable_diffusion_seed0.png")))
     distance = (((x - ref_image).cast(dtypes.float) / ref_image.max())**2).mean().item()
     assert distance < 3e-4, colored(f"validation failed with {distance=}", "red")