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
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Download README.md from TheWorstIsNot/ab: direct link, hf CLI and curl.
- Browser
- Download file 718 Bytes
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https://huggingface.co/TheWorstIsNot/ab/resolve/main/README.md
- Command line
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hf download hf://TheWorstIsNot/ab/README.md
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curl -L -o README.md https://huggingface.co/TheWorstIsNot/ab/resolve/main/README.md
718 Bytes
| 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. |