Text-to-Image
Diffusers
OpenVINO
StableDiffusionPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
openvino-export
Instructions to use Aminfri/realistic-vision-v60-b1-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aminfri/realistic-vision-v60-b1-openvino with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aminfri/realistic-vision-v60-b1-openvino", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
This model was converted to OpenVINO from stablediffusionapi/realistic-vision-v60-b1 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 = "Aminfri/realistic-vision-v60-b1-openvino"
model = OVDiffusionPipeline.from_pretrained(model_id)
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Model tree for Aminfri/realistic-vision-v60-b1-openvino
Base model
stablediffusionapi/realistic-vision-v60-b1