Instructions to use recoilme/agat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use recoilme/agat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("recoilme/agat", 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/tokenizer.json from recoilme/agat: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/recoilme/agat/resolve/main/text_encoder/tokenizer.json
- Command line
-
hf download hf://recoilme/agat/text_encoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/recoilme/agat/resolve/main/text_encoder/tokenizer.json
3.58 MB
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