metadata

tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
  - diffusers-training
  - flux
widget:
  - text: >-
      This set of four image depicts a cartoon black cat wearing a pirate hat;
      [IMAGE1] The cat is happy, holding a bouquet; [IMAGE2] The cat is happy,
      surrounded with music notes; [IMAGE3] The cat is riding a bicycle;
      [IMAGE4] The cat is eating an ice cream
    output:
      url: images/img_483760_0.png
  - text: >-
      This set of four image depicts a cartoon corgi; [IMAGE1] The corgi is
      happy, eating from a bowl; [IMAGE2] The corgi is sad, crying; [IMAGE3] The
      corgi is playing with a ball; [IMAGE4] The corgi is in neutral state
    output:
      url: images/img_941190_3.png
  - text: >-
      This set of four image depicts a cartoon hamster; [IMAGE1] The hamster is
      happy, holding a game controller; [IMAGE2] The hamster is sad, crying;
      [IMAGE3] The hamster is holding a white board with text 'NO'; [IMAGE4] The
      hamster is in neutral state
    output:
      url: images/img_982953_3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: >-
  This set of four image depicts a cartoon <subject>; [IMAGE1]; [IMAGE2];
  [IMAGE3]; [IMAGE4]
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

In Context 4x4 Sticker sheet

Prompt
This set of four image depicts a cartoon black cat wearing a pirate hat; [IMAGE1] The cat is happy, holding a bouquet; [IMAGE2] The cat is happy, surrounded with music notes; [IMAGE3] The cat is riding a bicycle; [IMAGE4] The cat is eating an ice cream

Prompt
This set of four image depicts a cartoon corgi; [IMAGE1] The corgi is happy, eating from a bowl; [IMAGE2] The corgi is sad, crying; [IMAGE3] The corgi is playing with a ball; [IMAGE4] The corgi is in neutral state

Prompt
This set of four image depicts a cartoon hamster; [IMAGE1] The hamster is happy, holding a game controller; [IMAGE2] The hamster is sad, crying; [IMAGE3] The hamster is holding a white board with text 'NO'; [IMAGE4] The hamster is in neutral state

Model description

These are DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.

The weights were trained using DreamBooth with the Flux diffusers trainer.

Was LoRA for the text encoder enabled? False.

Pivotal tuning was enabled: False.

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('rootonchair/4x4_sticker_sheet', weight_name='pytorch_lora_weights.safetensors', adapter_name='4x4_sticker_sheet')
pipeline.set_adapters(['4x4_sticker_sheet'], adapter_weights=[0.8])

image = pipeline('This set of four image depicts a cartoon black cat wearing a pirate hat; [IMAGE1] The cat is happy, holding a bouquet; [IMAGE2] The cat is happy, surrounded with music notes; [IMAGE3] The cat is riding a bicycle; [IMAGE4] The cat is eating an ice cream', width=512, height=512, num_inference_steps=28, guidance_scale=3.5).images[0]

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

License

Please adhere to the licensing terms as described here.

Trigger words

You should use This set of four image depicts a cartoon <subject>; [IMAGE1]; [IMAGE2]; [IMAGE3]; [IMAGE4] to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.