new

app.py

@@ -153,7 +153,7 @@ def text_to_detailed(prompt, seed=None):
 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):
     # 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()
+    # k3d_wrapper.flux_pipeline.enable_xformers_memory_efficient_attention()
     k3d_wrapper.renew_uuid()
     init_image = None
     # if init_image_path is not None:

pipeline/kiss3d_wrapper.py

@@ -75,6 +75,7 @@ def init_wrapper_from_config(config_path):
     else:
         flux_pipe = FluxImg2ImgPipeline.from_pretrained(flux_base_model_pth, torch_dtype=dtype_[flux_dtype], token=access_token)
     # flux_pipe.enable_vae_slicing()
+    flux_pipe.enable_vae_tiling()
     
     # flux_pipe.enable_sequential_cpu_offload()
     # load flux model and controlnet