---
base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: eric cat style, sunglassed with cat
  output:
    url: samples/b6a0866c-24e8-4fe3-a830-be14f26915f6.jpg
- text: eric cat style, cooking cat
  output:
    url: samples/c3.png
- text: eric cat style, cute cat
  output:
    url: samples/c4.png
- text: eric cat style, cute cat
  output:
    url: samples/c5.png
- text: eric cat style, cute cat
  output:
    url: samples/c6.png
- text: eric cat style, cute cat
  output:
    url: samples/c7.png
- text: eric cat style, cute cat
  output:
    url: images/example_rg9kyqkyf.png
instance_prompt: eric cat style

---

"In loving memory of Eric, who became a star in the sky last summer. For over a decade, he was more than just a pet—he was family. To honor my beloved cat, Eric, I created this LoRA model as a tribute to his cherished presence in my life."



# flux-lora-eric-cat

https://huggingface.co/spaces/openfree/mixgen3  

## Trigger words

You should use `eric cat style` 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](/ginipick/flux-lora-eric-cat/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('ginipick/flux-lora-eric-cat', weight_name='flux-lora-eric-cat')
image = pipeline('eric cat style, cute cat').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)