Text-to-Image
Diffusers
OpenVINO
English
OVStableDiffusion3Pipeline
stable-diffusion
nncf
8-bit precision
Instructions to use AIFunOver/stable-diffusion-3.5-large-turbo-openvino-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIFunOver/stable-diffusion-3.5-large-turbo-openvino-8bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIFunOver/stable-diffusion-3.5-large-turbo-openvino-8bit", 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:
- 8204548bdea674d6998847f99b16335446897ccd9afdd53d1a67d7b1e94522b8
- Size of remote file:
- 124 MB
- SHA256:
- 5ad435639920d1ed9ed1bff96c8cacfc73fdb3919eb5b2f9ce034d9e71bb847c
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