Instructions to use PoolerSP/LogiLeteV1_inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PoolerSP/LogiLeteV1_inpaint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PoolerSP/LogiLeteV1_inpaint", 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:
- 55580d9437fc19acf99300221ec5bb5e5fac36692f3f08a12cda2588d02c2acd
- Size of remote file:
- 492 MB
- SHA256:
- 41a29090a390f74e3fcc3b9baaa10300e44eb2ecd9f3161602b87904905ef8f1
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