Instructions to use damian0815/loam_dfn5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use damian0815/loam_dfn5b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("damian0815/loam_dfn5b", 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:
- 081a6fbfe3d4d4ea1fc0500582eb608a414f4151ac1928fc1809e79ce9c712a7
- Size of remote file:
- 2.49 MB
- SHA256:
- e5c3459646fcbe5a56ed80c9b75ae43a89921a85749038960db29d9019da3c16
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