______  ______   __       __  __   ______   ______   __  __   ______       __   ______    
/\  == \/\  __ \ /\ \     /\ \_\ \ /\  ___\ /\  == \ /\ \/\ \ /\___  \     /\ \ /\  __ \   
\ \  _-/\ \ \/\ \\ \ \____\ \____ \\ \ \____\ \  __< \ \ \_\ \\/_/  /__    \ \ \\ \ \/\ \  
 \ \_\   \ \_____\\ \_____\\/\_____\\ \_____\\ \_\ \_\\ \_____\ /\_____\    \ \_\\ \_____\ 
  \/_/    \/_____/ \/_____/ \/_____/ \/_____/ \/_/ /_/ \/_____/ \/_____/     \/_/ \/_____/ 
                                                                                                                                                                                                  

retro-pixel-art

Prompt

Retro Pixel, A pixelated image of a german shepherd dog. The dogs fur is a vibrant shade of brown, with a black stripe running down its back. The background is a light green, and the dogs shadow is cast on the ground.

Prompt

Retro Pixel, A pixelated image of a man surfing on a surfboard. The mans body is covered in a red shirt and blue shorts. His arms are out to the sides of his body. The surfboard is a vibrant blue color. The water is a light blue color with white splashes. The sun is shining on the right side of the image.

Prompt

Retro Pixel, pixel art of a Hamburger in the style of an old video game, hero, pixelated 8bit, final boss

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

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Model description for retro-pixel-art

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 & 2340
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 16 [ Hi-RES ]

Best Dimensions

• 1024 x 1024 (Default)

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 = "Polycruz9/retro-pixel-art"
trigger_word = "Retro Pixel"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Retro Pixel to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.