Real Claymation, Captured at eye-level on a low-angle perspective, a blue figurine with a red hat on its head and a red scarf around its neck. The figurines head is positioned in the center of the frame, with two large white eyes and a black nose on its face. Its mouth is slightly open, revealing a black smile. The background is a stark white, adding a pop of color to the scene.
Prompt
Real Claymation, a green toy frog is standing on a light brown wooden table. The frogs mouth is open, revealing a red heart in its mouth. Its mouth is adorned with red beads, adding a pop of color to the scene. Above the frogs head, a white keyboard can be seen.
Prompt
Real Claymation, Captured at eye-level on a low-angle shot, two green plush toys are perched on a piece of wood. The toy on the left is facing the viewer, while the one on the right is facing away from the viewer. Both toys are made of clay, a vibrant green color, and have white teeth and a red button in the mouth. The backdrop is a lush green field, with a body of water in the distance. The sky is filled with white, fluffy clouds, adding a touch of contrast to the scene.
Prompt
Real Claymation, Captured at eye-level on a low-angle, close-up shot of a green frog and a black and white penguin. The frog and penguin are facing each other, their arms wrapped around each other. The penguins head is encircled by a red hot dog, its tongue sticking out, adding a pop of color to the scene. The background is a stark white, allowing the frog to be the focal point of the image.
Prompt
Real Claymation, Captured at eye-level on a low-angle, close-up shot of a yellow smiley face with open hands. The smiley face has two large black eyes and a wide, friendly grin. Its hands are extended forward as if offering a warm hug. The background is a stark white, making the bright yellow and expressive features stand out, adding a pop of color to the scene.
Model description for Real-Claymation
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
25 & 3100
Epoch
21
Save Every N Epochs
1
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 28
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