Instructions to use vipuldeore/elderman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vipuldeore/elderman 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("vipuldeore/elderman") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/2024-11-04_205831_pixelwave_flux1Dev03_456575747826530.jpeg | |
| - text: "UNICODE\0\0f\0a\0c\0i\0a\0l\0 \0h\0a\0i\0r\0,\0 \0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0v\0i\0e\0w\0e\0r\0,\0 \0c\0o\0l\0l\0a\0r\0e\0d\0 \0s\0h\0i\0r\0t\0,\0 \0w\0h\0i\0t\0e\0 \0s\0h\0i\0r\0t\0,\0 \0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0 \0s\0o\0l\0o\0,\0 \0t\0i\0e\0,\0 \0p\0a\0n\0t\0s\0,\0 \0m\0u\0s\0t\0a\0c\0h\0e\0,\0 \0n\0e\0c\0k\0t\0i\0e\0,\0 \0i\0n\0d\0o\0o\0r\0s\0,\0 \0h\0a\0n\0d\0s\0 \0i\0n\0 \0p\0o\0c\0k\0e\0t\0s\0,\0 \0j\0o\0e\0 \0k\0e\0s\0l\0e\0r\0,\0 \0s\0t\0r\0i\0p\0e\0d\0 \0n\0e\0c\0k\0t\0i\0e\0,\0 \0l\0a\0m\0p\0" | |
| output: | |
| url: images/joe_kessler_e000005_00_20240817204615.jpeg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: joe kessler | |
| # elder man | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `joe kessler` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/vipuldeore/elderman/tree/main) them in the Files & versions tab. | |