Instructions to use ms2stationthis/drifella with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/drifella 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("ms2stationthis/drifella") prompt = "drifella, This is a digital collage featuring a stylized, anthropomorphic gray cat with large blue eyes, a red nose, and a yellow headband. The cat has a cigarette in its mouth and is wearing a white shirt with \"Licker is the big movie\" text. The background is black with musical notes overlaying the image. To the left, a small brown dog with a sad expression and a black ear is visible. In the bottom right, a hand holds a blue water bottle with a red label. The overall style is a mix of cartoonish and surreal, with a in the style of grungy, urban aesthetic." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!