test from pipe

inversion_run_adapter.py

@@ -5,6 +5,7 @@ from diffusers import (
     DiffusionPipeline,
     T2IAdapter,
     MultiAdapter,
+    StableDiffusionXLImg2ImgPipeline,
 )
 from controlnet_aux import (
     LineartDetector,
@@ -91,19 +92,45 @@ adapters = MultiAdapter(
 )
 adapters = adapters.to(torch.float16)
 
-pipeline = DiffusionPipeline.from_pretrained(
+basePipe = StableDiffusionXLImg2ImgPipeline.from_pretrained(
     BASE_MODEL,
     torch_dtype=torch.float16, 
     variant="fp16", 
     use_safetensors=True,
+)
+basePipe = basePipe.to(device)
+
+basePipe.scheduler = DDPMScheduler.from_pretrained(
+    BASE_MODEL,
+    subfolder="scheduler",
+)
+
+# pipeline = DiffusionPipeline.from_pretrained(
+#     BASE_MODEL,
+#     torch_dtype=torch.float16, 
+#     variant="fp16", 
+#     use_safetensors=True,
+#     adapter=adapters,
+#     custom_pipeline="./pipelines/pipeline_sdxl_adapter_img2img.py",
+# )
+# pipeline = pipeline.to(device)
+
+# pipeline.scheduler = DDPMScheduler.from_pretrained(
+#     BASE_MODEL,
+#     subfolder="scheduler",
+# )
+
+
+pipeline = DiffusionPipeline.from_pipe(
+    basePipe,
     adapter=adapters,
     custom_pipeline="./pipelines/pipeline_sdxl_adapter_img2img.py",
 )
+
 pipeline = pipeline.to(device)
 
-pipeline.scheduler = DDPMScheduler.from_pretrained(
-    BASE_MODEL,
-    subfolder="scheduler",
+pipeline.scheduler = DDPMScheduler.from_config(
+    pipeline.scheduler.config,
 )
 
 config = get_config(args)