Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-19 17:24:32 +02:00
Code Issues Packages Projects Releases Wiki Activity

OnnxConversion pass (temp)

Browse Source
This commit is contained in:
Seunghoon Lee
2024-01-25 21:07:01 +09:00
parent fc465f94bc
commit 8bcd60065d
10 changed files with 21 additions and 760 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/onnx_pipelines.py
+21 -1
View File
@@ -28,6 +28,22 @@ SUBMODELS_SD = ("text_encoder", "unet", "vae_encoder", "vae_decoder",)
SUBMODELS_SDXL = ("text_encoder", "text_encoder_2", "unet", "vae_encoder", "vae_decoder",)
SUBMODELS_SDXL_REFINER = ("text_encoder_2", "unet", "vae_encoder", "vae_decoder",)
CONVERSION_PASS = {
"type": "OnnxConversion",
"config": {
"target_opset": 14,
},
}
CONVERSION_PASS_UNET = {
"type": "OnnxConversion",
"config": {
"target_opset": 14,
"save_as_external_data": True,
"all_tensors_to_one_file": True,
"external_data_name": "weights.pb",
},
}
class OnnxPipelineBase(OnnxFakeModule, diffusers.DiffusionPipeline, metaclass=ABCMeta):
model_type: str
@@ -167,9 +183,13 @@ class OnnxRawPipeline(OnnxPipelineBase):
for submodel in submodels:
log.info(f"\nConverting {submodel}")
with open(os.path.join(sd_configs_path, "onnx", f"{'sdxl' if self._is_sdxl else 'sd'}_{submodel}.json"), "r") as config_file:
with open(os.path.join(sd_configs_path, "olive", 'sdxl' if self._is_sdxl else 'sd', f"{submodel}.json"), "r") as config_file:
conversion_config = json.load(config_file)
conversion_config["input_model"]["config"]["model_path"] = os.path.abspath(in_dir)
conversion_config["passes"] = {
"_conversion": CONVERSION_PASS_UNET if submodel == "unet" else CONVERSION_PASS,
}
conversion_config["pass_flows"] = [["_conversion"]]
conversion_config["engine"]["execution_providers"] = [shared.opts.onnx_execution_provider]
run(conversion_config)