metadata
license: creativeml-openrail-m
language:
- en
tags:
- 'stablediffusion '
- lcm
- latent consistency model
- openvino
pipeline_tag: text-to-image
rupeshs/LCM-dreamshaper-v7-openvino is a LCM-LoRA fused model for OpenVINO that allows image generation with only 4 steps.
Original Model : Lykon/dreamshaper-7
You can use this model with FastSD CPU.
To run the model yourself, you can leverage the 🧨 Diffusers library:
- Install the dependencies:
pip install optimum-intel openvino diffusers onnx
- Run the model:
from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline
pipeline = OVStableDiffusionPipeline.from_pretrained(
"rupeshs/LCM-dreamshaper-v7-openvino",
ov_config={"CACHE_DIR": ""},
)
prompt = "Self-portrait,a beautiful cyborg with golden hair, 8k"
images = pipeline(
prompt=prompt,
width=512,
height=512,
num_inference_steps=4,
guidance_scale=1.0,
).images
images[0].save("out_image.png")