Instructions to use OpenTO/LDM_L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenTO/LDM_L with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenTO/LDM_L", 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
- Xet hash:
- 3bae2d7d764f2362f345239992fa37138eda3b251df47d9dbece367eeb412b64
- Size of remote file:
- 2.71 GB
- SHA256:
- 41558d204a21a31f09e22c7a563b8850cf1bc01e024de391a7955a97686cf891
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