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:
- 5ead624c32bf5db91aa290fae587cf52f267e4a8b6ec053cfc382356f69ad894
- Size of remote file:
- 335 MB
- SHA256:
- 099afbb61c30028dceffb5b2aa9efb193f8f8cb7cb144503dca32c429dcc649a
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