Instructions to use HusseinHE/S7SLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HusseinHE/S7SLora 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("HusseinHE/S7SLora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: >- | |
| images/husseinhe_Peregrine_Falcon_in_a_classroom_eating_books_off_of_b4231130-8c96-4294-9656-7b04f2ec3ad6_0.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| # s7slora | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/HusseinHE/S7SLora/tree/main) them in the Files & versions tab. | |