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- Prompt
- 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.
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- 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.
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- 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.
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- 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.
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- 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
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/Real-Claymation"
trigger_word = "333 Pro Sketch"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use Real Claymation
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for strangerzonehf/Real-Claymation
Base model
black-forest-labs/FLUX.1-dev