un-43/Claymation

Prompt

Claymation, Captured from a high-angle perspective on a vibrant yellow backdrop, a medium-sized cartoon monkey is posed in front of the viewer. The monkey is adorned with a brown head, a brown vest, and brown pants. Its arms are draped over its chest, adding a touch of balance to the scene. A yellow bottle with a yellow label, adorned with the word "MONKEY" is positioned to the left of the monkey, positioned in a way that creates a stark contrast to the monkeys body. The bottles cap, a yellowish-orange color, adds a pop of color to the composition. Three bananas are arranged to the bottom right corner of the frame.

Prompt

Claymation, a small cartoon figure stands against a stark white backdrop. The figures face is adorned with a black t-shirt, gray shorts, black shoes, and a pair of white socks. The head of the figure is adorned in a light brown beanie with a white patch on it that reads "KUBO". The figure is holding a wooden baseball bat in its left hand, with the word "OKUBO" written on it in black.

Prompt

Claymation, a medium-sized cartoon figure stands against a stark yellow backdrop. The figures head is adorned with a gold crown, adorned with small gold dots, adding a pop of color to the scene. Its eyes are wide open, revealing a glimpse of black eyebrows and black eyelashes. Its head is encircled by a gold ribbon, adding depth to the composition. Its outfit is adorned in a cream-colored dress with a brown belt, adding to the overall composition.

Prompt

Claymation, a small cartoon figure stands against a stark white backdrop. The figures face is adorned with black eyes, a black headband, and a pair of red shorts with a white belt tied around the waist. The word "KUBO" is written in black letters on the chest of the figure, along with the word "UBO" in a smaller font. A life preserver is in its right hand, adding a touch of color to the figure.

Model description for Flux-Ghibli-Art-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	16 & 2000
Epoch	10	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 17

Best Dimensions & Inference

Dimensions	Aspect Ratio	Recommendation
1280 x 832	3:2	Best
1024 x 1024	1:1	Default

Inference Range

• Recommended Inference Steps: 30–35

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-Claymation-XC-LoRA"
trigger_word = "Claymation"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Claymation to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.