Instructions to use breyness/hollyweird with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use breyness/hollyweird with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("breyness/hollyweird") prompt = "hollyweird, a woman in a room with a red carpet" 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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("breyness/hollyweird")
prompt = "hollyweird, a woman in a room with a red carpet"
image = pipe(prompt).images[0]hollyweird

- Prompt
- hollyweird, a woman in a room with a red carpet

- Prompt
- hollyweird, a woman in a black dress smoking a cigarette
Model description
hollyweird generation
Trigger words
You should use hollyweird 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 breyness/hollyweird
Base model
runwayml/stable-diffusion-v1-5