README.md

---
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
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
# widget:
#   - text: >-
#       prompt
#     output:
#       url: https://...
instance_prompt: harris
---

# Flux1.Lora.Kamalaharris

![](sample.jpg)
<!-- <Gallery /> -->

With thanks to [⚡straico.com⚡](https://huggingface.co/Straico) for supporting my work. You can support me to by using [this affiliate link](https://platform.straico.com/signup?fpr=roelf14) when subscribing to ⚡Straico⚡

You can find my blog pages at [https://roelfrenkema.github.io](https://roelfrenkema.github.io) and if you want to send me a coffee push the button. [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/Q5Q8124DNL)


## Trigger words
You should use `harris` to trigger the image generation.


## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('roelfrenkema/flux1.lora.kamalaharris', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)