Instructions to use Arturmel/fluxgram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arturmel/fluxgram 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("Arturmel/fluxgram") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
fluxgram

- Prompt
- -
Trigger words
You should use fluxgram to trigger the image generation.
You should use candid smartphone photo to trigger the image generation.
You should use bokeh background to trigger the image generation.
You should use authentic to trigger the image generation.
You should use unposed to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Arturmel/fluxgram
Base model
black-forest-labs/FLUX.1-dev