Instructions to use wrbit01/dt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wrbit01/dt 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("wrbit01/dt") prompt = "DNTRMP donald trump, 75 years old, blonde hair, disheveled hairstyle, light-colored eyes, frowning expression, displeased emotion, large head in proportion to body, exaggerated facial features, slouched posture, arms hanging loosely, wearing a formal black suit, white shirt, bright red tie, small lapel pin, cartoonish style, high contrast black and white shading, neutral lighting, average build, white background, political caricature, XKCD style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
dt
.png)
- Prompt
- DNTRMP donald trump, 75 years old, blonde hair, disheveled hairstyle, light-colored eyes, frowning expression, displeased emotion, large head in proportion to body, exaggerated facial features, slouched posture, arms hanging loosely, wearing a formal black suit, white shirt, bright red tie, small lapel pin, cartoonish style, high contrast black and white shading, neutral lighting, average build, white background, political caricature, XKCD style
Trigger words
You should use dt to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 25
Model tree for wrbit01/dt
Base model
black-forest-labs/FLUX.1-dev