Instructions to use ImAbbieKitten/protoanime2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ImAbbieKitten/protoanime2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ImAbbieKitten/protoanime2", 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 ImAbbieKitten/protoanime2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ImAbbieKitten/protoanime2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ImAbbieKitten/protoanime2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ImAbbieKitten/protoanime2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- cf1e55eabf24b9b0035202a40ecc79f8b106cbee8c734d95f44b0e36e43ee0f7
- Size of remote file:
- 492 MB
- SHA256:
- a80794d4129b6b9d2cc4dc8d323638f3f1faff6101d98ecbf29db6c7ed52c656
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