Instructions to use giuffridait/karl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use giuffridait/karl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("giuffridait/karl", 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 giuffridait/karl: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/giuffridait/karl/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://giuffridait/karl@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/giuffridait/karl/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 53eb4cb5245a0167ff25fc541793bc70030a431fbbed8b07dc195048b551d92f
- Size of remote file:
- 492 MB
- SHA256:
- bf23da6bedb9c6bacaed355c9f8a1468f825785066aab22bbda07ab4f945c91f
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