metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      a cartoon cat standing in front of a house, surrounded by grass, a road, a
      fence, trees, and a sky with clouds. Balalar
    output:
      url: samples/1730233836785__000001000_0.jpg
  - text: >-
      a cartoon raccoon playing a flute against a green and yellow background.
      The raccoon has a mischievous expression on its face as it plays the
      flute. Balalar
    output:
      url: samples/1730233853026__000001000_1.jpg
  - text: >-
      an owl standing on the side of a road, surrounded by trees, plants, grass,
      and houses in the background. The sky is filled with clouds, creating a
      peaceful atmosphere. Balalar
    output:
      url: samples/1730233869271__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Balalar
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

balalar

Model trained with AI Toolkit by Ostris

Prompt
a cartoon raccoon playing a flute against a green and yellow background. The raccoon has a mischievous expression on its face as it plays the flute. Balalar

Prompt
an owl standing on the side of a road, surrounded by trees, plants, grass, and houses in the background. The sky is filled with clouds, creating a peaceful atmosphere. Balalar

Trigger words

You should use Balalar 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('life/balalar', weight_name='balalar.safetensors')
image = pipeline('a cartoon cat standing in front of a house, surrounded by grass, a road, a fence, trees, and a sky with clouds. Balalar').images[0]
image.save("my_image.png")

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