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
Commit History
-
Upload folder using huggingface_hub
74a6224 -
Upload model_index.json with huggingface_hub
266faae -
Upload folder using huggingface_hub
deeaa9a -
Upload folder using huggingface_hub
eb26851 -
Upload folder using huggingface_hub
7708f36 -
Upload folder using huggingface_hub
735a9cd -
Upload folder using huggingface_hub
62a0b4e -
Upload folder using huggingface_hub
974b920 -
Upload folder using huggingface_hub
4cc0060 -
Upload the concept AnyaLora embeds and token
fbb4d29 -
initial commit
edf1335