Instructions to use hjgp/basekitXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/basekitXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/basekitXL", 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 unet/diffusion_pytorch_model.bin from hjgp/basekitXL: direct link, hf CLI and curl.
- Browser
- Download file 10.3 GB
-
https://huggingface.co/hjgp/basekitXL/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hjgp/basekitXL/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hjgp/basekitXL/resolve/main/unet/diffusion_pytorch_model.bin
10.3 GB
- Xet hash:
- 5bb903c3fe6538c814c41e160f7a0728545b0130203433e7f7f61405b19908dc
- Size of remote file:
- 10.3 GB
- SHA256:
- 305cb78bfb81731c69aee5d526e177373b9a024d14ee1443781dcace37765550
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