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Download model.py from next-social/9fo912: direct link, hf CLI and curl.
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https://huggingface.co/spaces/next-social/9fo912/resolve/main/model.py
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curl -L -o model.py https://huggingface.co/spaces/next-social/9fo912/resolve/main/model.py
2.37 kB
| 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 | |