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
metadata
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

- Prompt
- -

- Prompt
- UNICODEfacial hair, looking at viewer, collared shirt, white shirt, realistic, solo, tie, pants, mustache, necktie, indoors, hands in pockets, joe kesler, striped necktie, lamp
Trigger words
You should use joe kessler to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.