Instructions to use TheWorstIsNot/ub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheWorstIsNot/ub 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/ub") prompt = "a photo of chr1st1n4h3ndr1cks, redhead, a woman wearing a turtleneck sweater, outside, snow, cold, winter <lora:Christina_Hendricks_Flux_LoRA:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 689 Bytes
a4e3e98 | 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 33 34 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
a photo of chr1st1n4h3ndr1cks, redhead, a woman wearing a turtleneck
sweater, outside, snow, cold, winter <lora:Christina_Hendricks_Flux_LoRA:1>
output:
url: images/40433179.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Underbun, underbutt
---
# ub
<Gallery />
## Trigger words
You should use `Underbun` to trigger the image generation.
You should use `underbutt` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/TheWorstIsNot/ub/tree/main) them in the Files & versions tab.
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