Instructions to use danielpleus/daniel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danielpleus/daniel 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("danielpleus/daniel") prompt = "a D4N1EL man in a bustling cafe " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: 'a D4N1EL man in a bustling cafe '
output:
url: samples/1725022967280__000001000_0.jpg
- text: a D4N1EL man in front of the eiffel tower
output:
url: samples/1725023069721__000001000_1.jpg
- text: a D4N1EL man in hamburg
output:
url: samples/1725023172072__000001000_2.jpg
instance_prompt: D4N1EL
daniel
Model trained with AI Toolkit by Ostris

- Prompt
- a D4N1EL man in a bustling cafe

- Prompt
- a D4N1EL man in front of the eiffel tower

- Prompt
- a D4N1EL man in hamburg
Trigger words
You should use D4N1EL to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.