Instructions to use milaidy/christinaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use milaidy/christinaa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("milaidy/christinaa", 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
Download text_encoder/pytorch_model.bin from milaidy/christinaa: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/milaidy/christinaa/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://milaidy/christinaa/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/milaidy/christinaa/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- e7c5a3aa7a20d85003d4968afce2b981a40bd2961a5c8bb315e663c01c1c4eb6
- Size of remote file:
- 246 MB
- SHA256:
- 786cf05fad41f0f8a6329643f6f6417c38e570eb37449650c6b5f166dd625811
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