a

pyproject.toml

@@ -32,7 +32,7 @@ dependencies = [
 [tool.edge-maxxing]
 models = [
     "stablediffusionapi/newdream-sdxl-20",
-    "KogoroTop/cached-39-2"
+    "Givemeaname123/39_cached_2"
 ]
 
 [tool.uv.sources]

src/pipeline.py

@@ -28,13 +28,13 @@ def load_pipeline(pipeline=None) -> StableDiffusionXLPipeline:
     pipeline.scheduler = SchedulerWrapper(DDIMScheduler.from_config(pipeline.scheduler.config))
 
     pipeline = compile_pipe(pipeline)
-    load_pipe(pipeline, dir="/home/sandbox/.cache/huggingface/hub/models--KogoroTop--cached-39-2/snapshots/21a696440479d33151d796c2e035b83180b22ee2")
+    load_pipe(pipeline, dir="/home/sandbox/.cache/huggingface/hub/models--Givemeaname123--39_cached_2/snapshots/21a696440479d33151d796c2e035b83180b22ee2")
 
     for __ in range(1):
-        deepcache_output = pipeline(prompt="a ghost", output_type="pil", num_inference_steps=15)
+        deepcache_output = pipeline(prompt="a beautiful girl", output_type="pil", num_inference_steps=15)
     pipeline.scheduler.prepare_loss()
     for __ in range(2):
-        pipeline(prompt="a boy are learning in classroom", output_type="pil", num_inference_steps=15)
+        pipeline(prompt="there are four beautiful girls", output_type="pil", num_inference_steps=15)
     return pipeline
 
 def infer(request: TextToImageRequest, pipeline: StableDiffusionXLPipeline) -> Image:

src/scheduler_config.json

@@ -1,3 +1,3 @@
 {
-  "_by": "RobertML"
+  "_by": "noname"
 }