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:
- 1d1dc853e59ab76417f825e32cced679951896a8fef774ed26a4ab56f8c8592d
- Size of remote file:
- 3.46 GB
- SHA256:
- da050d8d9397afefa5ee9159aacc519a2d1365d60dc7c4c1919f4216b145d9d7
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