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 pytorch_model.bin from dripza/mexicyber: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/dripza/mexicyber/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dripza/mexicyber/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dripza/mexicyber/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- 5ceaed9e032dfb42943d44fe5a5a7721d257e41ae48cfb301af26b77388d2691
- Size of remote file:
- 334 MB
- SHA256:
- 2e3b42f94c54cd23c62385f87a42ecfb6a0c17c7f6fa9b3f7219f909e9a9d90c
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