README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: A person in a bustling cafe pepe
    output:
        url: samples/1737602345329__000001000_0.jpg

-   text: A pepe
    output:
        url: samples/pepe1.webp
        
-   text: A pepe
    output:
        url: samples/pepe2.webp
        
-   text: A pepe
    output:
        url: samples/pepe3.webp
        
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: pepe
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
---

# pepe

<Gallery />

## Trigger words

You should use `pepe` to trigger the image generation.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/openfree/pepe/tree/main) them in the Files & versions tab.

## 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.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/pepe', weight_name='pepe.safetensors')
image = pipeline('A person in a bustling cafe pepe').images[0]
image.save("my_image.png")
```

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)