Text-to-Image
Diffusers
OpenVINO
OVStableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
openvino-export
Instructions to use anokimchen/tiny-sd-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anokimchen/tiny-sd-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("anokimchen/tiny-sd-openvino", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 8ae4a773be7c579479869eea47d0cf4449f9ec7f27ed718d83e9906f096e12de
- Size of remote file:
- 492 MB
- SHA256:
- afd793e0470837b678af5d66823efab50fed6158a4e492b7d17f405c9385cc5b
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