Text-to-Image
Diffusers
Safetensors
English
French
Russian
StableDiffusionPipeline
open-diffusion
od-v3
openskyml
Instructions to use openskyml/open-diffusion-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/open-diffusion-v3", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b10b7be6c4d7f6eee0b77dd4026675d6fa307f68dba1e4bfacb752e083238194
- Size of remote file:
- 2.13 GB
- SHA256:
- ae28f15ae7560477aa5e9e301cf0cd07338936bc02d689a530b0c595857b7469
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.