Instructions to use paths1551/paths1223 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paths1551/paths1223 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("paths1551/paths1223", torch_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:
- 95416365e13b9f39c21c91656846ea8febfd95b9de77522bf9b6453a63b24950
- Size of remote file:
- 246 MB
- SHA256:
- c2d8a00b7d323a25dbfa526070c92b761151b6c5c98ae8077a8ef998d4725d73
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