Flux-Super-Capybara-HF

Prompt

capybara hf, A cartoon drawing of a brown bear sitting in front of a laptop. The bear is facing to the right and has a smiley face on the screen of the laptop. Above the bear is a white bear with a black nose and a black mouth. The background is a light beige color.

Prompt

capybara hf, A cartoon drawing of a brown bear wearing sunglasses with a yellow circle at the top of the eyes. The bears eyes are tinted black, and the bears body is a light brown color. He is holding a pink money in his right hand. The money has a black border around it, and there are two yellow smiley faces on the eyes of the bear. The background is a solid white color.

Prompt

capybara hf, A cartoon drawing of a brown bear with a black hat on its head. The bear is wearing a black shirt with a pink collar. The bears face is brown and the bears mouth is black. There is a smiley face in the bottom right corner of the image. There are white clouds in the background.

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/Flux-Super-Capybara-HF

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	22 & 2900
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 20

Best Dimensions

• 768 x 1024 (Best)
• 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 = "strangerzonehf/Flux-Super-Capybara-HF"
trigger_word = "capybara hf"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use capybara hf to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.