Instructions to use ammariii08/abstractj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ammariii08/abstractj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ammariii08/abstractj", 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 ammariii08/abstractj: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ammariii08/abstractj/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ammariii08/abstractj/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ammariii08/abstractj/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- af4d064ea9e78a8ef032f311c2d132134eee42013c47e14554b648400fd55625
- Size of remote file:
- 492 MB
- SHA256:
- c9a9803a29a907c2b7ea56394252cb7b5037a218e16e5c15f5d10487de968b7f
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