Instructions to use Avrik/abstract-anim-spritesheets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avrik/abstract-anim-spritesheets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Avrik/abstract-anim-spritesheets", 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 Avrik/abstract-anim-spritesheets: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Avrik/abstract-anim-spritesheets/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Avrik/abstract-anim-spritesheets/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Avrik/abstract-anim-spritesheets/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c5d5f7d14cf713094c1e6d30f84d9e115069240645b7a4da77091199d6f88674
- Size of remote file:
- 492 MB
- SHA256:
- c0972c6304973a28075e8ed002aaeacd7b9a046b72478db276f46788ccbef46e
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