Instructions to use dataautogpt3/OpenDalle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/OpenDalle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalle", dtype=torch.bfloat16, device_map="cuda") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d41649db424df229f95cbca4757aeea51bda4cbb1311a2986e0a960674b4a4f3
- Size of remote file:
- 492 MB
- SHA256:
- b228224841aae8307e93b49b58ef42451d9be2b1b1883dc2b6caba64ce9aa499
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