Instructions to use rorito/BigBoobsFLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/BigBoobsFLUX 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rorito/BigBoobsFLUX") prompt = "UNICODE\u0000\u0000s\u0000i\u0000d\u0000e\u0000v\u0000i\u0000e\u0000w\u0000,\u0000 \u0000b\u0000i\u0000g\u0000 \u0000b\u0000o\u0000o\u0000b\u0000s\u0000" 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: "UNICODE\0\0s\0i\0d\0e\0v\0i\0e\0w\0,\0 \0b\0i\0g\0 \0b\0o\0o\0b\0s\0" | |
| output: | |
| url: images/Big_Boobs_e000005_01_20240817195220.jpeg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: boobs | |
| license: apache-2.0 | |
| # BigBoobsFLUX | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `boobs` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/rorito/BigBoobsFLUX/tree/main) them in the Files & versions tab. | |