Instructions to use TheWorstIsNot/ab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheWorstIsNot/ab 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("TheWorstIsNot/ab") prompt = "A high quality image of Alison Brie on a white background. His hair is long and wet curly. With a black fabric bodysuit with long sleeves and a high collar, black tights. Black and white image." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 718 Bytes
7a3e07c 95611f6 b1d6959 7a3e07c 900c4dd 7a3e07c 900c4dd b1d6959 900c4dd 7a3e07c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
A high quality image of Alison Brie on a white background. His hair is long
and wet curly. With a black fabric bodysuit with long sleeves and a high
collar, black tights. Black and white image.
output:
url: images/A high quality image of Alison Brie on a white....png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Alison Brie
---
# Alison
<Gallery />
## Trigger words
You should use `Alison Brie` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/TheWorstIsNot/ab/tree/main) them in the Files & versions tab. |