Instructions to use covecove/cheekyb_schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use covecove/cheekyb_schnell 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("covecove/cheekyb_schnell") prompt = "smiling cheekyb statue" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
cheekyb schnell

- Prompt
- smiling cheekyb statue

- Prompt
- a group of cheekyb standing around a screen that shows a crypto chart

- Prompt
- beautifully rendered cheekyb chick, very cute, sanrio style, it looks dumb
Model description
Trigger words
You should use cheekyb to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for covecove/cheekyb_schnell
Base model
black-forest-labs/FLUX.1-schnell