<h3 id="base-model-compatibility:-dblc4zgh5">Base Model Compatibility:</h3><ul><li>Black Forest Labs - Flux (flux-dev or flux-schnell)</li><li>Designed to work seamlessly with Transformer-based image generation pipelines</li></ul><hr /><h2 id="inspiration:-lencois-maranhenses-brazil-jkgx1rwip">📸 Inspiration: Lençóis Maranhenses, Brazil</h2>The Lençóis Maranhenses is a stunning natural landscape located in the northeastern Brazilian state of Maranhão . It features vast stretches of white sand dunes , interspersed with turquoise lagoons that form during the rainy season. The region is known for its surreal beauty, dramatic skies, and the interplay between desert-like dunes and freshwater pools.This LoRA model captures the essence of this unique environment, enabling Flux to generate highly realistic and atmospheric images reminiscent of this iconic ecosystem.<hr /><h2 id="visual-style-and-key-themes-qdo3mpvrc">🖼️ Visual Style &amp; Key Themes</h2>The LoRA model specializes in generating:<ul><li>Sweeping desert landscapes with soft, undulating white sand dunes</li><li>Clear turquoise lagoons reflecting sky and surrounding sands</li><li>Golden-hour lighting casting long shadows across the terrain</li><li>Dramatic aerial perspectives , mimicking drone photography</li><li>Sparse human presence , such as travelers walking through dunes</li><li>Minimalist compositions emphasizing texture, color contrast, and natural geometry</li></ul><hr /><h2 id="training-details-lpjmkos0k">🧠 Training Details</h2>Training DatasetCurated high-resolution photos of Lençóis Maranhenses in various lighting and weather conditionsImage Resolution1024x1024 pixels (standard for Flux training)Dataset Size~500–1000 high-quality images including close-ups, wide-angle views, and aerial shotsTraining Epochs30–50LoRA Rank (α)64 (adjustable depending on desired influence strength)Adaptation TypeLinear LoRA applied to key attention layers in the Transformer backboneRecommended Aspect Ratios1:1, 4:5, 16:9<hr /><h2 id="prompt-suggestions-7hpdao0ul">💬 Prompt Suggestions</h2>Here are some example prompts you can use with Flux and this LoRA model:<h3 id="prompt-example-1:-tkd2wyuv2">🌅 Prompt Example 1:</h3>plaintext1A vast desert of white sand dunes under a golden sunset, with a turquoise lagoon reflecting the sky, soft shadows, ultra-detailed, photorealistic, wide-angle view --ar 16:9<h3 id="prompt-example-2:-tcuahn0qt">👣 Prompt Example 2:</h3>plaintext1A lone traveler walking over the smooth curves of white sand dunes, surrounded by shimmering blue lagoons, early morning light, cinematic composition, hyperrealistic --ar 3:4<h3 id="prompt-example-3:-gi7j1q03a">🚁 Prompt Example 3:</h3>plaintext1Aerial view of a surreal landscape with white dunes and turquoise pools, abstract patterns formed by nature, soft sunlight, high resolution, drone-style photo --ar 1:1✅ Tip: Include keywords like <code>lençois maranhenses</code>, <code>brazilian dunes</code>, <code>white sand lagoons</code>, or <code>desert oasis</code> in your prompt to better activate the LoRA’s learned style.<hr /><h2 id="recommended-generation-settings-9s97sfsbt">🛠️ Recommended Generation Settings</h2>Guidance Scale3.5–7.0Sampling Steps25–50Sampler<code>Euler</code> or <code>DPM++ 2M Karras</code>Negative Promptlow quality, cartoonish, unrealistic proportions, noise, deformed features, text, watermark<hr /><h2 id="how-to-use-with-flux-6pmm7pg6f">🧩 How to Use with Flux</h2>If you're using a compatible interface (like ComfyUI, InvokeAI, or custom code), simply load the <code>.safetensors</code> file and inject it into the Flux model during inference.<h3 id="example-in-python-(with-diffusers-and-peft):-cd82zvwle">Example in Python (with <code>diffusers</code> and <code>peft</code>):</h3>python123456789101112131415from diffusers import FluxPipelinefrom peft import PeftModel# Load base Flux modelpipe = FluxPipeline.from_pretrained("black-forest-labs/flux-dev")# Inject LoRA weightspipe.transformer = PeftModel.from_pretrained(pipe.transformer, "path/to/lora_lensois_maranhenses_flux")# Generate an imageimage = pipe(prompt="A serene lagoon in the middle of white sand dunes",guidance_scale=5.0,num_inference_steps=30).images[0]<hr /><h2 id="licensing-and-attribution-(optional)-91poln6j4">🌐 Licensing &amp; Attribution (Optional)</h2>If sharing publicly, consider adding:This LoRA was trained with inspiration from Lençóis Maranhenses, a Brazilian national park famous for its shifting dunes and seasonal lagoons. All credit goes to the natural beauty and photographs used in training.<hr /><h2 id="final-summary-wnzg17yxt">✅ Final Summary</h2>The "Lençóis Maranhenses" LoRA for Flux enhances the base model’s capabilities to generate stunning, photorealistic depictions of one of Earth’s most surreal landscapes. With its focus on texture, color harmony, and environmental atmosphere, this LoRA brings the magic of Brazil’s desert paradise directly into your AI-generated visuals.

Lencois Regina Pouchein

lora-000011.TA_trained.safetensors

v1.0

 Base Model Compatibility:  

    Black Forest Labs - Flux (flux-dev or flux-schnell) 
    Designed to work seamlessly with Transformer-based image generation pipelines
     

 
📸 Inspiration: Lençóis Maranhenses, Brazil  

The Lençóis Maranhenses  is a stunning natural landscape located in the northeastern Brazilian state of Maranhão . It features vast stretches of white sand dunes , interspersed with turquoise lagoons  that form during the rainy season. The region is known for its surreal beauty, dramatic skies, and the interplay between desert-like dunes and freshwater pools. 

This LoRA model  captures the essence of this unique environment, enabling Flux  to generate highly realistic and atmospheric images reminiscent of this iconic ecosystem. 
 
🖼️ Visual Style & Key Themes  

The LoRA model specializes in generating: 

    Sweeping desert landscapes  with soft, undulating white sand dunes
    Clear turquoise lagoons  reflecting sky and surrounding sands
    Golden-hour lighting  casting long shadows across the terrain
    Dramatic aerial perspectives , mimicking drone photography
    Sparse human presence , such as travelers walking through dunes
    Minimalist compositions  emphasizing texture, color contrast, and natural geometry
     

 
🧠 Training Details  
Training Dataset
	
Curated high-resolution photos of Lençóis Maranhenses in various lighting and weather conditions
Image Resolution
	
1024x1024 pixels (standard for Flux training)
Dataset Size
	
~500–1000 high-quality images including close-ups, wide-angle views, and aerial shots
Training Epochs
	
30–50
LoRA Rank (α)
	
64 (adjustable depending on desired influence strength)
Adaptation Type
	
Linear LoRA applied to key attention layers in the Transformer backbone
Recommended Aspect Ratios
	
1:1, 4:5, 16:9
 
 
 
💬 Prompt Suggestions  

Here are some example prompts you can use with Flux  and this LoRA model: 
🌅 Prompt Example 1: 
plaintext
 
 
1
A vast desert of white sand dunes under a golden sunset, with a turquoise lagoon reflecting the sky, soft shadows, ultra-detailed, photorealistic, wide-angle view --ar 16:9
 
 
👣 Prompt Example 2: 
plaintext
 
 
1
A lone traveler walking over the smooth curves of white sand dunes, surrounded by shimmering blue lagoons, early morning light, cinematic composition, hyperrealistic --ar 3:4
 
 
🚁 Prompt Example 3: 
plaintext
 
 
1
Aerial view of a surreal landscape with white dunes and turquoise pools, abstract patterns formed by nature, soft sunlight, high resolution, drone-style photo --ar 1:1
 
 

    ✅ Tip:  Include keywords like lençois maranhenses, brazilian dunes, white sand lagoons, or desert oasis in your prompt to better activate the LoRA’s learned style. 
     

 
🛠️ Recommended Generation Settings  
Guidance Scale
	
3.5–7.0
Sampling Steps
	
25–50
Sampler
	
Euler
or
DPM++ 2M Karras
Negative Prompt
	
low quality, cartoonish, unrealistic proportions, noise, deformed features, text, watermark
 
 
 
🧩 How to Use with Flux  

If you're using a compatible interface (like ComfyUI, InvokeAI, or custom code), simply load the .safetensors file and inject it into the Flux model during inference. 
Example in Python (with diffusers and peft): 
python
 
 
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from diffusers import FluxPipeline
from peft import PeftModel

# Load base Flux model
pipe = FluxPipeline.from_pretrained("black-forest-labs/flux-dev")

# Inject LoRA weights
pipe.transformer = PeftModel.from_pretrained(pipe.transformer, "path/to/lora_lensois_maranhenses_flux")

# Generate an image
image = pipe(
    prompt="A serene lagoon in the middle of white sand dunes",
    guidance_scale=5.0,
    num_inference_steps=30
).images[0]
 
 
 
🌐 Licensing & Attribution (Optional)  

If sharing publicly, consider adding: 

    This LoRA was trained with inspiration from Lençóis Maranhenses, a Brazilian national park famous for its shifting dunes and seasonal lagoons. All credit goes to the natural beauty and photographs used in training.  
     

 
✅ Final Summary  

The "Lençóis Maranhenses" LoRA for Flux  enhances the base model’s capabilities to generate stunning, photorealistic depictions  of one of Earth’s most surreal landscapes. With its focus on texture, color harmony, and environmental atmosphere, this LoRA brings the magic of Brazil’s desert paradise directly into your AI-generated visuals. 

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