Create README.md

README.md

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+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')
+```