FLUX.1 Dev LoRA AutumnSpringTrees

🚀 FLUX.1-dev-LoRA-AutumnSpringTrees

This LoRA fine - tune for FLUX.1 [dev] specializes in generating seasonal landscapes, especially focusing on autumn scenery, foliage, and natural environments. It enhances the base model's ability to create detailed and vivid autumn - themed images.

🚀 Quick Start

This LoRA enhances FLUX.1 [dev]'s ability to generate detailed autumn landscapes with rich, vibrant fall colors, detailed trees, and seasonal elements. Use the trigger word autumnProxy to activate the autumn - specific capabilities.

✨ Features

• Enhanced autumn color palette (reds, oranges, yellows, greens)
• Detailed tree and leaf structures
• Natural seasonal lighting effects
• Atmospheric elements like fog and mist
• Realistic ground coverage with fallen leaves

📦 Installation

First, ensure you have FLUX.1 [dev] installed:

# Install
pip install -U diffusers

# Loading with Diffusers
import torch
from diffusers import FluxPipeline

# Load base model
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()

# Load and apply LoRA weights
pipe.load_lora_weights("Borcherding/FLUX.1-dev-LoRA-AutumnSpringTrees")

# Generate image
prompt = "autumnProxy A majestic maple tree with vibrant red and orange leaves, golden afternoon light"
image = pipe(
    prompt,
    height=1024,
    width=1024,
    guidance_scale=3.5,
    num_inference_steps=50,
    max_sequence_length=512,
    generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("autumn-scene.png")

# Unload LoRA weights if needed
pipe.unload_lora_weights()

# Optional: Merge LoRA weights permanently
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Borcherding/FLUX.1-dev-LoRA-AutumnSpringTrees")
pipe.merge_lora_weights()
pipe.save_pretrained("FLUX.1-dev-LoRA-AutumnSpringTrees-merged")

💻 Usage Examples

Basic Usage

Use autumnProxy in your prompts to activate the seasonal enhancements. Best results are achieved when placing the trigger word at the start of the prompt.

"autumnProxy A peaceful forest path covered in fallen maple leaves, morning mist rising"
"autumnProxy Ancient oak trees with twisted branches, leaves turning golden and red"
"autumnProxy Scenic mountain valley with autumn colors, warm sunset light"

📚 Documentation

Trigger words

You should use autumnProxy to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

🔧 Technical Details

This is a LoRA for FLUX.1 [dev] and requires the base model to function. It focuses on natural landscapes and seasonal elements and inherits base limitations from FLUX.1 [dev].

📄 License

This LoRA falls under the same licensing terms as FLUX.1 [dev]. Please refer to the base model's license for usage terms.

Credits

• Base model: FLUX.1 [dev] by Black Forest Labs
• LoRA training and development: [Borcherding at BorchInk]