metadata

tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: a Komaru cat sitting in a box of corn on top of a couch
    output:
      url: images/71_.png
  - text: a Komaru cat laying on its back on the wooden floor
    output:
      url: images/76_.png
  - text: a person holding a Komaru cat in their hands
    output:
      url: images/hack337_00005_.png
  - text: a Komaru cat sitting atop a cardboard box
    output:
      url: images/hack337_00004_.png
  - text: a Komaru cat sitting atop a wooden drawer, with a wall on the right side
    output:
      url: images/._00001_.png
  - text: >-
      a Komaru cat wearing a pink hat with ears, sitting on a wooden surface
      with a blurred background
    output:
      url: images/hack337_00002_.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Komaru
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

Komaru

Prompt
a person holding a Komaru cat in their hands

Prompt
a Komaru cat sitting atop a cardboard box

Prompt
a Komaru cat sitting atop a wooden drawer, with a wall on the right side

Prompt
a Komaru cat wearing a pink hat with ears, sitting on a wooden surface with a blurred background

Model description

Komaru, a charming Kincalow cat, is the star of this LoRa. Follow her adventures and cuteness on her human's Instagram: @mugimeshi323

Trigger words

You should use Komaru to trigger the image generation.

Download model

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('Hack337/flux-lora-Komaru', weight_name='komaru')
image = pipeline('a Komaru cat sitting in a box of corn on top of a couch, with a white cloth draped over it').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers