readme: ![pic](https://huggingface.co/ClashSAN/miniSD-quantized-onnx/blob/main/192x256portrait.png)
  
  - run with only +0.6gb total ram, with this at 192x256
  - run with only +1gb total ram, with this at 320x320
  ```
  from diffusers import StableDiffusionOnnxPipeline
  import torch
  from diffusers import (
  DDPMScheduler,
  DDIMScheduler,
  PNDMScheduler,
  LMSDiscreteScheduler,
  EulerDiscreteScheduler,
  EulerAncestralDiscreteScheduler,
  DPMSolverMultistepScheduler
  )
  
  scheduler = DPMSolverMultistepScheduler.from_pretrained("./model", subfolder="scheduler")
  
  pipe = StableDiffusionOnnxPipeline.from_pretrained(
  './model',
  custom_pipeline="lpw_stable_diffusion_onnx",
  revision="onnx",
  scheduler=scheduler,
  safety_checker=None,
  provider="CPUExecutionProvider"
  )
  
  
  prompt = "a photo of "
  neg_prompt = ""
  
  generator = torch.Generator(device="cpu").manual_seed(1)
  
  
  image = pipe.text2img(prompt,negative_prompt=neg_prompt, num_inference_steps=8, width=192, height=256, guidance_scale=10, generator=generator, max_embeddings_multiples=3).images[0]
  image.save('./test.png')
  ```