Instructions to use georgep4181/agp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use georgep4181/agp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("georgep4181/agp", dtype=torch.bfloat16, device_map="cuda") prompt = "agp" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from georgep4181/agp: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/georgep4181/agp/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://georgep4181/agp/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/georgep4181/agp/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- e35e4737d6ae2a14f97455e220722f4161c79572fae46d1f3d96eaf38f3d611b
- Size of remote file:
- 1.36 GB
- SHA256:
- a2dffc61442b30919cfefa721d61e8e52cb613dceccd02e091b9c4b4272cd703
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