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
Upload vae_encoder/openvino_model.bin with huggingface_hub
Browse files
vae_encoder/openvino_model.bin
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