Instructions to use Babivill/leidirocha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Babivill/leidirocha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Babivill/leidirocha", dtype=torch.bfloat16, device_map="cuda") prompt = "leidirocha" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (9f88a0d6c4d4fddaab5ffa799c05e605dac7685d)348c694
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Upload concept_images with huggingface_hub
07bd80f -
Upload with huggingface_hub
1cebe27 -
Upload the model leidirocha
21276a2 -
initial commit
f141b04