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 Settings
- Draw Things
- DiffusionBee
|
Download README.md from Shero448/machine_milk: direct link, hf CLI and curl.
- Browser
- Download file 616 Bytes
-
https://huggingface.co/Shero448/machine_milk/resolve/main/README.md
- Command line
-
hf download hf://Shero448/machine_milk/README.md
-
curl -L -o README.md https://huggingface.co/Shero448/machine_milk/resolve/main/README.md
616 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/sc.png | |
| text: '-' | |
| base_model: John6666/prefect-illustrious-xl-v15-sdxl | |
| instance_prompt: suction device, milking machine, stationary restraints | |
| # machine_milk | |
| <Gallery /> | |
| ## 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](/Shero448/machine_milk/tree/main) them in the Files & versions tab. | |