Text-to-Image
Diffusers
Safetensors
ONNX
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StableDiffusionPipeline
open-diffusion
od-v2
openskyml
Instructions to use openskyml/open-diffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v2 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-v2", 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:
- 0f90b0108fc85617a235858d58276cf764331913bf2b55e1b35051b4c71c6c19
- Size of remote file:
- 681 MB
- SHA256:
- 8d51528c8920e26536bcfe19c3f19e6c842e73b4b6082976ae8378d27dd07c29
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