fix(api): use Torch pipelines while loading models for conversion

api/onnx_web/convert/diffusion/diffusion.py

@@ -16,14 +16,22 @@ from shutil import rmtree
 from typing import Any, Dict, Optional, Tuple, Union
 
 import torch
-from diffusers import AutoencoderKL, OnnxRuntimeModel, OnnxStableDiffusionPipeline
+from diffusers import (
+    AutoencoderKL,
+    OnnxRuntimeModel,
+    OnnxStableDiffusionPipeline,
+    StableDiffusionInstructPix2PixPipeline,
+    StableDiffusionPipeline,
+    StableDiffusionUpscalePipeline,
+)
 from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
     download_from_original_stable_diffusion_ckpt,
 )
 from onnx import load_model, save_model
 
 from ...constants import ONNX_MODEL, ONNX_WEIGHTS
-from ...diffusers.load import available_pipelines, optimize_pipeline
+from ...diffusers.load import optimize_pipeline
+from ...diffusers.pipelines.controlnet import OnnxStableDiffusionControlNetPipeline
 from ...diffusers.pipelines.upscale import OnnxStableDiffusionUpscalePipeline
 from ...diffusers.version_safe_diffusers import AttnProcessor
 from ...models.cnet import UNet2DConditionModel_CNet
@@ -33,6 +41,17 @@ from .checkpoint import convert_extract_checkpoint
 
 logger = getLogger(__name__)
 
+CONVERT_PIPELINES = {
+    "controlnet": OnnxStableDiffusionControlNetPipeline,
+    "img2img": StableDiffusionPipeline,
+    "inpaint": StableDiffusionPipeline,
+    "lpw": StableDiffusionPipeline,
+    "panorama": StableDiffusionPipeline,
+    "pix2pix": StableDiffusionInstructPix2PixPipeline,
+    "txt2img": StableDiffusionPipeline,
+    "upscale": StableDiffusionUpscalePipeline,
+}
+
 
 def get_model_version(
     source,
@@ -295,7 +314,7 @@ def convert_diffusion_diffusers(
             logger.info("ONNX model already exists, skipping")
             return (False, dest_path)
 
-    pipe_class = available_pipelines.get(pipe_type)
+    pipe_class = CONVERT_PIPELINES.get(pipe_type)
     v2, pipe_args = get_model_version(
         source, conversion.map_location, size=image_size, version=version
     )