Text-to-Image
Diffusers
Safetensors
ONNX
English
French
Russian
StableDiffusionPipeline
open-diffusion
od-v1
openskyml
Instructions to use openskyml/open-diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v1 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-v1", 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:
- df9780821686f20dc85368bf27fbd7fd57bcce61d9e65c73c573d6d4d46078c6
- Size of remote file:
- 246 MB
- SHA256:
- 23a7e4d49c3dd9d595a26518c3591ba948dbb4bb76ad597815feb020cd9f9cbe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.