Instructions to use SebastianEngelberth/Olpe_Model_15k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SebastianEngelberth/Olpe_Model_15k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SebastianEngelberth/Olpe_Model_15k", 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
- Draw Things
- DiffusionBee
- Xet hash:
- c1f75a17d1b28532b293ea1abcebe0d851dc6facc5d75127e5e1eabad99cf645
- Size of remote file:
- 1.75 GB
- SHA256:
- 68e1c63f7373b9a8fb002333f28f8f687208d9721cb752cb3a9defb8cfe6e9b8
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