Instructions to use aiomatic/ceousman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aiomatic/ceousman with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aiomatic/ceousman") prompt = "ceousman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Potential Exposure of Hugging Face Token
#1
by June-Snow - opened
Hello,
We are a group of security researchers conducting an analysis of publicly available resources to assess common misconfiguration risks.
During our research, we came across a Hugging Face access token exposed in a public configuration: hf_tmy******klAzjC. This token appears to be linked to your account and could potentially allow unauthorized access to Hugging Face services. If left unrevoked, it may be vulnerable to misuse.
We strongly recommend that you revoke this token immediately and generate a new one. Additionally, please review your configurations to ensure that no other sensitive credentials are publicly accessible.
Best regards,