Instructions to use twn39/Vincent_van_Gogh_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use twn39/Vincent_van_Gogh_flux 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("twn39/Vincent_van_Gogh_flux") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("twn39/Vincent_van_Gogh_flux")
prompt = "-"
image = pipe(prompt).images[0]Vincent van Gogh style

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Trigger words
You should use Post-Impressionism to trigger the image generation.
You should use vangogh style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for twn39/Vincent_van_Gogh_flux
Base model
black-forest-labs/FLUX.1-dev