Instructions to use galleri5-ai/aniG5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use galleri5-ai/aniG5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("galleri5-ai/aniG5", 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 galleri5-ai/aniG5: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/galleri5-ai/aniG5/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://galleri5-ai/aniG5/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/galleri5-ai/aniG5/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- cca56d1be81d28ac5d9a6c76a30b008f5296ac95ec18aee5d003af3ea4510ec5
- Size of remote file:
- 492 MB
- SHA256:
- 403c14b1a23555983d6433669101f233f3b77af47d9e8801937141dc6261bfdb
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