Update src/pipeline.py

src/pipeline.py

@@ -23,7 +23,7 @@ def load_pipeline() -> Pipeline:
     vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-schnell", revision="741f7c3ce8b383c54771c7003378a50191e9efe9", subfolder="vae", torch_dtype=torch.bfloat16)
     pipeline = FluxPipeline.from_pretrained(ids, revision=Revision, transformer=transformer, vae=vae, local_files_only=True, torch_dtype=torch.bfloat16)
     pipeline.to("cuda")
-    pipeline = apply_cache_on_pipe(pipeline, residual_diff_threshold=0.888)
+    pipeline = apply_cache_on_pipe(pipeline, residual_diff_threshold=0.768)
     pipeline("")
     return pipeline
 @torch.no_grad()