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", torch_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 Settings
- Draw Things
- DiffusionBee
File size: 1,124 Bytes
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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.
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