---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Mockup
- Design
- Flux-Dev
widget:
- text: >-
    Mockup, a pristine white sweatshirt is prominently displayed against a stark
    white backdrop. The sweatshirt has a long-sleeved button-down collar and a
    zipper on the right side of the chest. The sleeves of the sweatshirt are
    rolled up at the elbow, adding a touch of texture to the image.
  output:
    url: images/MU1.webp
- text: >-
    Mockup, A medium-angle shot of a white t-shirt with a black collar and short
    sleeves. The shirt is positioned in front of a gray backdrop. The front of
    the shirt is turned to the left, and the sleeves are rolled up to the right.
    The sleeves have a slight curve at the neckline, adding a touch of texture
    to the shirt. The t-shirts are positioned in a way that creates a stark
    contrast to the gray backdrop, making the shirt the focal point of the
    image.
  output:
    url: images/MU2.webp
- text: >-
    Mockup, A medium-angle shot of a womans white t-shirt with a short-sleeved
    red collar is displayed against a gray backdrop. The shirts front is facing
    the left side of the frame, and the sleeves are rolled up to the right. The
    sleeves are short, with a red stripe running down the center of the
    neckline. The t-shirts are made of a soft, smooth, smooth white material.
    The rims of the sleeves and sleeves are a vibrant red, adding a pop of color
    to the otherwise monochromatic image.
  output:
    url: images/MU3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Mockup
license: apache-2.0
---
# Mockup-Texture

<Gallery />

**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/Mockup-Texture-Flux-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           | 23 & 2.2K |
| Epoch                     | 13    | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 22 [ Hi-RES ]
    
## 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 = "prithivMLmods/Mockup-Texture-Flux-LoRA"
trigger_word = "Mockup"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```
## Data source
    
    - https://playground.com/

## Trigger words

You should use `Mockup` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Mockup-Texture-Flux-LoRA/tree/main) them in the Files & versions tab.