Instructions to use Genner2025/cow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Genner2025/cow 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("Genner2025/cow") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("Genner2025/cow")
prompt = "-"
image = pipe(prompt).images[0]cow

- Prompt
- -
Trigger words
You should use c0wc05 to trigger the image generation.
You should use cowdress to trigger the image generation.
You should use bell bow tie to trigger the image generation.
You should use Cow horn to trigger the image generation.
You should use Cow ear to trigger the image generation.
You should use Cow tail 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 Genner2025/cow
Base model
black-forest-labs/FLUX.1-dev