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miniSD-quantized-onnx
ClashSAN/miniSD-quantized-onnx
miniSD-quantized-onnx is a machine learning model from ClashSAN. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Access
Public
Updated Feb 1, 2023
Repo size
1.4 GB
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2
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.data861 MB · 62%
At a glance
- Access
- Public
- Created
- Jan 31, 2023
- Updated
- Feb 1, 2023
- SHA
- 5be41e31
Model card
From the Hugging Face model README
- 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')
- Created
- Jan 31, 2023
- Updated
- Feb 1, 2023