Instructions to use CowLiker/up with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CowLiker/up 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("CowLiker/up") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
up

- Prompt
- -
Trigger words
You should use forward-facing to trigger the image generation.
You should use prone pose with her head and upper torso resting on the surface in front of her to trigger the image generation.
You should use Her legs are bent at the hips and raised to trigger the image generation.
You should use with her buttocks elevated and facing the camera to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for CowLiker/up
Base model
black-forest-labs/FLUX.1-dev