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:
- 812b6ea10c332f019e2667f96b82699b9248aaed7dc08c8e8923a207ef24309d
- Size of remote file:
- 335 MB
- SHA256:
- 559fd681e8d18b185bd1ec037e14459debc554cfba067da941b1e3330b46d46a
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