Instructions to use Improceid/anyalora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Improceid/anyalora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Improceid/anyalora", 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:
- b0d2cc19fdcfe59cc9405c07711a40deb01a5c19199fd8065c83e531c4234b63
- Size of remote file:
- 246 MB
- SHA256:
- c07d8329d2313b8a31bbf09e1468705d63c28dee8e4c8d0c5aa18b097f4c22ec
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