Instructions to use MarkBW/brooke-monk-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/brooke-monk-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarkBW/brooke-monk-xl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 626 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
output:
url: images/tmp44h7gzp8.jpeg
base_model: xinsir/controlnet-union-sdxl-1.0
instance_prompt: br0km0nk
---
# brooke-monk-xl
<Gallery />
## Model description
Face of social media celebrity Brook Monk, use the word ''br0km0nk''
By: Violetta_K
## Trigger words
You should use `br0km0nk` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/brooke-monk-xl/tree/main) them in the Files & versions tab.
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