Instructions to use Texttra/Bh0r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Texttra/Bh0r with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Texttra/Bh0r") prompt = "<lora:Bh0r:.8> Bh0r in tortoise shell, red lenses, dark-skinned woman with braids, neutral expression, wearing a black track jacket, front-facing portrait of sunglasses, flat white concrete wall background, daylight, hyper realistic, film photograph" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
<lora:Bh0r:.8> Bh0r in tortoise shell, red lenses, dark-skinned woman with
braids, neutral expression, wearing a black track jacket, front-facing
portrait of sunglasses, flat white concrete wall background, daylight,
hyper realistic, film photograph
output:
url: images/image - 2025-04-13T130539.547.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Bh0r
license: creativeml-openrail-m
Bh0r

- Prompt
- <lora:Bh0r:.8> Bh0r in tortoise shell, red lenses, dark-skinned woman with braids, neutral expression, wearing a black track jacket, front-facing portrait of sunglasses, flat white concrete wall background, daylight, hyper realistic, film photograph
Model description
Begin with "Bh0r in color"
Followed by "Color lenses"
And completion your prompt
Trigger words
You should use Bh0r to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.