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
| 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 | |
| <Gallery /> | |
| ## 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](/Texttra/Bh0r/tree/main) them in the Files & versions tab. | |