9fo912 / model.py
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import torch
from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler, DPMSolverMultistepScheduler, \
OnnxStableDiffusionPipeline
import pipeline_openvino_stable_diffusion
def get_sd_21():
model_id = "stabilityai/stable-diffusion-2-1-base"
scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
if torch.cuda.is_available():
pipe = StableDiffusionPipeline.from_pretrained(
model_id,
scheduler=scheduler,
# safety_checker=None,
revision="fp16",
torch_dtype=torch.float16)
pipe = pipe.to('cuda')
else:
pipe = StableDiffusionPipeline.from_pretrained(
model_id,
scheduler=scheduler,
# safety_checker=None,
revision="fp16",
torch_dtype=torch.float16)
return pipe
def get_sd_every():
model_id = 'OFA-Sys/small-stable-diffusion-v0'
scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
onnx_pipe = OnnxStableDiffusionPipeline.from_pretrained(
"OFA-Sys/small-stable-diffusion-v0",
scheduler=scheduler,
revision="onnx",
provider="CPUExecutionProvider",
)
pipe = pipeline_openvino_stable_diffusion.OpenVINOStableDiffusionPipeline.from_onnx_pipeline(onnx_pipe)
return pipe
def get_sd_small():
model_id = 'OFA-Sys/small-stable-diffusion-v0'
scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
onnx_pipe = OnnxStableDiffusionPipeline.from_pretrained(
"OFA-Sys/small-stable-diffusion-v0",
scheduler=scheduler,
revision="onnx",
provider="CPUExecutionProvider",
)
pipe = pipeline_openvino_stable_diffusion.OpenVINOStableDiffusionPipeline.from_onnx_pipeline(onnx_pipe)
return pipe
def get_sd_tiny():
model_id = 'OFA-Sys/small-stable-diffusion-v0'
scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
onnx_pipe = OnnxStableDiffusionPipeline.from_pretrained(
"OFA-Sys/small-stable-diffusion-v0",
scheduler=scheduler,
revision="onnx",
provider="CPUExecutionProvider",
)
pipe = pipeline_openvino_stable_diffusion.OpenVINOStableDiffusionPipeline.from_onnx_pipeline(onnx_pipe)
return pipe