Text-to-Image
Diffusers
Safetensors
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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:
- 8d0e503b56445356bd6089590e4c083d8f7899fdd7d778c2c8d04af75ad90e3b
- Size of remote file:
- 3.44 GB
- SHA256:
- b2d778cc7309ab6e360579a089228f88556fc9a67e62895b8adf4ea48d47e3b8
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