Instructions to use zhyemmmm/OSAmberGlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhyemmmm/OSAmberGlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhyemmmm/OSAmberGlow", 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:
- a679aca23635379270b04252e77bb7afc9f63f304c81e003347c9b6302d14ceb
- Size of remote file:
- 335 MB
- SHA256:
- 0c4efc5a58a4981554d0cd022624bc1f5d850d30350c61fb6d8cc2c30518c6b5
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