Instructions to use dripza/mexicyber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dripza/mexicyber with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dripza/mexicyber", 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 training_args.bin from dripza/mexicyber: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/dripza/mexicyber/resolve/main/training_args.bin
- Command line
-
hf download hf://dripza/mexicyber/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dripza/mexicyber/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 321d04e1defb0187317255dcc3b7f4825cbd0540c269c436cb6b71bd491157bd
- Size of remote file:
- 3.31 kB
- SHA256:
- e6c39265bf60730cd8e709c283d1acc64181becee4c6eebd7a49e07da294dd5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.