Instructions to use oraul/stable-diffusion-2-base_fine_tuned_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oraul/stable-diffusion-2-base_fine_tuned_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oraul/stable-diffusion-2-base_fine_tuned_1", 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:
- cd5e7b1911bf52bdb54b7882fe2c5a4fa2539af20fac020c17da02714b1641b3
- Size of remote file:
- 1.36 GB
- SHA256:
- 19e178e0b0e93437d829bf8e3eb16e61e31991d69741c55b8878d09feabf66fd
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