Flux.1 Dev Hand Sticky LoRA

🚀 Flux.1-Dev-Hand-Sticky-LoRA

This LoRA model is designed for text-to-image generation, enabling the creation of unique images based on specific prompts. It's built on the foundation of the base model black-forest-labs/FLUX.1-dev and can generate various hand - sticker related images.

🚀 Quick Start

Installation

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)

Usage

You should use handstick69 to trigger the image generation.

✨ Features

• Text - to - Image Generation: Generate images based on text prompts.
• LoRA Integration: Built as a LoRA model on top of black-forest-labs/FLUX.1-dev for efficient fine - tuning.

📦 Installation

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)

💻 Usage Examples

Basic Usage

# The following code demonstrates the basic usage of loading the model and generating images
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)

# Assume you have a prompt
prompt = f"{trigger_word}, a human hand is holding two small stickers"
image = pipe(prompt).images[0]
image.show()

📚 Documentation

Model description

prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA

Image Processing Parameters

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 20

Best Dimensions

• 768 x 1024 (Best)
• 1024 x 1024 (Default)

Trigger words

You should use handstick69 to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

📄 License

This model is licensed under creativeml-openrail-m.

⚠️ Important Note

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.