README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '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.'
  output:
    url: images/1.png
- text: '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.'
  output:
    url: images/22.png
- text: '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.'
  output:
    url: images/33.png
- text: '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.'
  output:
    url: images/44.png
- text: '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.'
  output:
    url: images/55.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Real Claymation
license: apache-2.0
---
![szdfcvsd.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/zE3YsMK-NZHqXABBpp8Eu.png)

<Gallery />

# 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
```python
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](/strangerzonehf/Real-Claymation/tree/main) them in the Files & versions tab.