Instructions to use dev9669/aom-hardcore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dev9669/aom-hardcore with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dev9669/aom-hardcore", 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:
- b8e8685c479fe5966a323dec0c8b9c56323d724c4dc40842d82820e859d79750
- Size of remote file:
- 492 MB
- SHA256:
- 5d926110b5e047bd0e7e7fefae204616c9428f35b7d82c8f29ee22895c082e0c
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