Malikafinal

🚀 Malika

Malika is a model that combines with the base model black-forest-labs/FLUX.1-dev to generate high - quality text - to - image results, especially suitable for portrait generation.

🚀 Quick Start

✨ Features

• Integrates with the black-forest-labs/FLUX.1-dev base model.
• Utilizes LoRA technology for more flexible model adaptation.
• Capable of generating high - quality text - to - image results, especially portraits.

📦 Installation

There is no explicit installation step provided in the original document. If you want to use this model, you need to have the diffusers library installed. You can install it via the following command:

pip install diffusers

💻 Usage Examples

Basic Usage

from diffusers import DiffusionPipeline
import torch

# Load base model
pipeline = DiffusionPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.float16
).to("cuda")

# Load your LoRA
pipeline.load_lora_weights(
    "codermert/malikafinal",
    weight_name="lora.safetensors",
    adapter_name="malika"
)

# Generate image
image = pipeline(
    prompt="portrait of TOK, <malika>, photorealistic, 8K",
    negative_prompt="blurry, deformed"
).images[0]

📄 License

• License Name: flux - 1 - dev - non - commercial - license
• License Link: LICENSE.md