Text-to-Image
Diffusers
OpenVINO
English
OVStableDiffusion3Pipeline
stable-diffusion
nncf
8-bit precision
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AIFunOver/stable-diffusion-3.5-large-turbo-openvino-8bit", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This model is a quantized version of stabilityai/stable-diffusion-3.5-large-turbo and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVPipelineForText2Image
model_id = "AIFunOver/stable-diffusion-3.5-large-turbo-openvino-8bit"
model = OVPipelineForText2Image.from_pretrained(model_id)
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