Instructions to use ZProphete/awesome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZProphete/awesome with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZProphete/awesome", torch_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:
- 40d9ab5be2d6f44f5d1ed123bb538e6ca55d9075e93089140d2c149f64040ab8
- Size of remote file:
- 492 MB
- SHA256:
- 620037426dc271c2b611414d6a3ae7788721ff1be17bcdedfa195bdb1fdc2da9
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