Instructions to use Shero448/machine_milk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/machine_milk with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-illustrious-xl-v15-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/machine_milk") prompt = "-" image = pipe(prompt).images[0] - 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("John6666/prefect-illustrious-xl-v15-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/machine_milk")
prompt = "-"
image = pipe(prompt).images[0]machine_milk

- Prompt
- -
Trigger words
You should use suction device to trigger the image generation.
You should use milking machine to trigger the image generation.
You should use stationary restraints to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for Shero448/machine_milk
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/prefect-illustrious-xl-v15-sdxl