Text-to-Image
Diffusers
OpenVINO
StableDiffusionXLPipeline
ultra-realistic
stable-diffusion
distilled-model
knowledge-distillation
openvino-export
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yung-shun/SSD-1B-openvino", 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 was converted to OpenVINO from segmind/SSD-1B using optimum-intel
via the export space.
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 OVDiffusionPipeline
model_id = "Yung-shun/SSD-1B-openvino"
model = OVDiffusionPipeline.from_pretrained(model_id)
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Base model
segmind/SSD-1B