Instructions to use circulus/sd-anireal-2d-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use circulus/sd-anireal-2d-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circulus/sd-anireal-2d-v1", 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 circulus/sd-anireal-2d-v1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/circulus/sd-anireal-2d-v1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://circulus/sd-anireal-2d-v1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/circulus/sd-anireal-2d-v1/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- ea4a3376282e38f03d29da81a9ac1730e118ca56187e6756da90a41bbf3a6a74
- Size of remote file:
- 492 MB
- SHA256:
- c1ad7a8d1fa8784c814bd5ee44c0aa9cf4ccf016dc0810f83d14688701cba463
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