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", 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:
- 054a1a285c91bc781c51975a94b6125565ba846f71c5161a14e70024afc07cd2
- Size of remote file:
- 3.46 GB
- SHA256:
- 302912540c1f3377069816870ec45034c6d8b387feb07cf8d0032d127272377d
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