new

app.py

@@ -152,7 +152,7 @@ def text_to_detailed(prompt, seed=None):
     return k3d_wrapper.get_detailed_prompt(prompt, seed)
 
 @spaces.GPU(duration=120)
-def text_to_image(prompt, seed=None, strength=1.0,lora_scale=1.0, num_inference_steps=20, redux_hparam=None, init_image=None, **kwargs):
+def text_to_image(prompt, seed=None, strength=1.0,lora_scale=1.0, num_inference_steps=18, redux_hparam=None, init_image=None, **kwargs):
     # subprocess.run("rm -rf /data-nvme/zerogpu-offload/*", env={}, shell=True)
     # print(f"Before text_to_image: {torch.cuda.memory_allocated() / 1024**3} GB")
     # k3d_wrapper.flux_pipeline.enable_xformers_memory_efficient_attention()