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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'handstick69, a human hand is holding two small stickers, each with the words "you can do this!" written on them in black text. The left sticker is pink, while the right sticker is yellow, with black text written on it. Behind the hand, there is a plant with green leaves and a white tile floor.'
output:
url: images/H2.png
- text: 'handstick69, A close-up view of a persons hand holding a sticker that reads "You Rock" in black letters. The sticker is a light blue ice cream with a smiley face on it. The persons nails are painted a vibrant red nail color. The background is a beige polka dot pattern.'
output:
url: images/H3.png
- text: 'handstick69, A close-up view of a white sticker that reads "Stay" in black letters on a white background. The sticker has a black outline of a mountain, a cactus, a sun, and a house on the right side of the sticker. There is a tree in the bottom right corner of the image. There are green leaves in the background behind the sticker, and there is a clear blue sky in the top right corner.'
output:
url: images/H4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: handstick69
license: creativeml-openrail-m
---
# Flux.1-Dev-Hand-Sticky-LoRA
<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/Flux.1-Dev-Hand-Sticky-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 | 17 & 1920 |
| Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 20
## Best Dimensions
- 768 x 1024 (Best)
- 1024 x 1024 (Default)
## 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 = "prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA"
trigger_word = "handstick69"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `handstick69` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Flux.1-Dev-Sticker-LoRA/tree/main) them in the Files & versions tab.
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