Update src/pipeline.py

src/pipeline.py

@@ -5,7 +5,7 @@ from diffusers import StableDiffusionXLPipeline
 from pipelines.models import TextToImageRequest
 from diffusers import DDIMScheduler
 from torch import Generator
-from loss import SchedulerWrapper
+from loss import SchedulerWrapper,  hook_pipe, get_instance
 
 from onediffx import compile_pipe, save_pipe, load_pipe
 
@@ -30,6 +30,12 @@ def load_pipeline(pipeline=None) -> StableDiffusionXLPipeline:
     pipeline = compile_pipe(pipeline)
     load_pipe(pipeline, dir="/home/sandbox/.cache/huggingface/hub/models--RobertML--cached-pipe-02/snapshots/58d70deae87034cce351b780b48841f9746d4ad7")
 
+    instance = get_instance(device)
+    mul = torch.nn.Parameter(torch.tensor(1.2, requires_grad=False, device=device))
+    sub = torch.nn.Parameter(torch.tensor(0.75, requires_grad=False, device=device))
+    scaling_factor = torch.nn.Parameter(torch.tensor(pipeline.vae.config.scaling_factor, requires_grad=False, device=device))
+    hook_pipe(pipeline, instance, mul, sub, scaling_factor)
+
     for _ in range(1):
         deepcache_output = pipeline(prompt="telestereography, unstrengthen, preadministrator, copatroness, hyperpersonal, paramountness, paranoid, guaniferous", output_type="pil", num_inference_steps=20)
     pipeline.scheduler.prepare_loss()