Instructions to use ARDICAI/ardic_ai_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ARDICAI/ardic_ai_5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ARDICAI/ardic_ai_5", 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:
- 42a75d3637d1621714fe6224e4f2d671225deb1bc5fb7cd96ae53fb567a62c73
- Size of remote file:
- 681 MB
- SHA256:
- 1843ddb8e63b21d7549cb3e4d4c890e35224cfcb3a8f5052dc0ebff111cf04f4
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