metadata

tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
  - Flux.1-Dev
  - Stickers
  - Design
widget:
  - text: >-
      Only Sticker, An animated illustration of a sloth in a mug with the words
      "Sloth Fuel" written on it. The sloth is holding the mug with its left
      hand and its right hand resting on the mug. The mug is filled with coffee
      and there is a brown liquid dripping from the bottom of the cup. There is
      a white background behind the sloth with a smoke coming out of it. There
      are three coffee beans on the bottom left corner of the image.
    output:
      url: images/111.png
  - text: >-
      Only Sticker, An animated image of a pink brain with a white border around
      it. The background is a solid white. The brain is outlined in a vibrant
      shade of pink, with a maroon stripe running down the center. The borders
      of the brain are outlined in black, creating a striking contrast with the
      white border. The image is taken from a low-angle perspective.
    output:
      url: images/222.png
  - text: >-
      Only Sticker, A sticker of a green van is on a white background. There are
      mountains in the background with trees in front of them. There is a yellow
      sun in the top right corner of the image. Below the mountain there is
      black text that says "collect moments not things".
    output:
      url: images/333.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Only Sticker
license: creativeml-openrail-m

Ton618-Only-Stickers-Flux-LoRA

Prompt
Only Sticker, An animated illustration of a sloth in a mug with the words "Sloth Fuel" written on it. The sloth is holding the mug with its left hand and its right hand resting on the mug. The mug is filled with coffee and there is a brown liquid dripping from the bottom of the cup. There is a white background behind the sloth with a smoke coming out of it. There are three coffee beans on the bottom left corner of the image.

Prompt
Only Sticker, An animated image of a pink brain with a white border around it. The background is a solid white. The brain is outlined in a vibrant shade of pink, with a maroon stripe running down the center. The borders of the brain are outlined in black, creating a striking contrast with the white border. The image is taken from a low-angle perspective.

Prompt
Only Sticker, A sticker of a green van is on a white background. There are mountains in the background with trees in front of them. There is a yellow sun in the top right corner of the image. Below the mountain there is black text that says "collect moments not things".

Available here🧨: https://huggingface.co./spaces/prithivMLmods/FLUX-LoRA-DLC

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

Model description

prithivMLmods/Ton618-Only-Stickers-Flux-LoRA

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat & Steps	24 & 2.9K
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 15 [ Hi-RES ]

Best Dimensions

1024 x 1024 (Default)
768 x 1024

Sample 1024 x 1024

Prompt
A sticker of a potted monstera plant on a white background with small leaves and flowers around it. The text below says, “Let’s grow together.”

Setting Up

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Ton618-Only-Stickers-Flux-LoRA"
trigger_word = "Only Sticker"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Data source

- https://playground.com/

Trigger words

You should use Only Sticker to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.