Instructions to use Allenbv/kevin-xd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Allenbv/kevin-xd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Allenbv/kevin-xd", 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 Allenbv/kevin-xd: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Allenbv/kevin-xd/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Allenbv/kevin-xd@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Allenbv/kevin-xd/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f03ac6f48c693ea04a3f582e17dfe4534ff92bbf2382b83bcc29662e9fca532e
- Size of remote file:
- 492 MB
- SHA256:
- a82e8b15756f472f22066af0cd823b7d2cde20e1caed0e3fccbcbec7ee4757d7
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