README.md

metadata

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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