Instructions to use ainz/deliberate_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ainz/deliberate_v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ainz/deliberate_v3", 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:
- 7399358323c8b8d96f45b1cf0272f6d171010f1f9f74bafa94d9635e346446e8
- Size of remote file:
- 335 MB
- SHA256:
- 13469473f383b42890de598cefb8c450c4a5d50a50bf7ef232a7b24eec443a22
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