Instructions to use AlejandroLanaspa/faceless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlejandroLanaspa/faceless with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlejandroLanaspa/faceless", 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:
- 50adb276c605b823f96e41a86a1eb0b91fe924e8fe4e5d8a683eec9ee5cd4a6f
- Size of remote file:
- 1.36 GB
- SHA256:
- bc5a43260b3f582f775e912e2ca6a71dc7771cbf19fedd16a0f96f8eb2052a51
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