---
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
- coffee
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
instance_prompt: 
widget:
  - text: 'Black espresso coffee machine, rectangle shaped, with LED screen, built-in water filter, and 3 red buttons.'
    output:
      url: example.png
---


# Coffee machines ☕ - FLUX LoRA 


## Image examples for the model:
![Image 1](example.png)
>  Black espresso coffee machine, rectangle shaped, with LED screen, built-in water filter, and 3 red buttons.



# Flux Coffee Machines

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train



## 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('Fer14/flux-coffee-machines', 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)