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", torch_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:
- d8c54e56067ed48f43d1603ec3f00f17396512e436750ff5afd420a91f9663b6
- Size of remote file:
- 246 MB
- SHA256:
- ae019d7fe747ae5df46ab5cb6ba10d7395ccc036d35c6cd2e20d41a447b6c4f3
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