Instructions to use shahtab/IvoryStranger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shahtab/IvoryStranger 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("shahtab/IvoryStranger") prompt = "-" 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: '-' | |
| output: | |
| url: >- | |
| images/aae4eda29f32c0979aedac94de3bdc5dc37375a9d676bf5d54c5a6ee671d0d2f.webp | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| license: apache-2.0 | |
| # Ivory Stranger - Flux LoRA | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/shahtab/IvoryStranger/tree/main) them in the Files & versions tab. | |