Borcherding/FLUX.1-dev-LoRA-AutumnSpringTrees

seasonalLandsFluxDev

Prompt

autumnProxy orange and red tree surrounded by grass and leaves with a double rainbow in the sky above the tree

Negative Prompt

cartoon, fake

Prompt

autumnProxy red and green maple tree looking up at from underneath

Negative Prompt

cartoon, fake

Prompt

autumnProxy orange and red tree surrounded by grass and leaves with a double rainbow in the sky above the tree

Negative Prompt

cartoon, fake

Prompt

autumnProxy orange and green maple leaf

Negative Prompt

cartoon, fake

Prompt

autumnProxy red and green leaf

Negative Prompt

cartoon, fake

Prompt

autumnProxy red maple leaf

Negative Prompt

cartoon, fake

Prompt

autumnProxy a red and yellow maple leaf resting on a wooden surface. The leaf is vibrant and stands out against the wooden background, its colors of red, yellow, and orange creating a beautiful contrast, almost marbled and blocky.

Prompt

autumnProxy a red and yellow maple leaf resting on a wooden surface. The leaf is vibrant and stands out against the wooden background, its colors of red, yellow, and orange creating a beautiful contrast, almost marbled and blocky.

Prompt

autumnProxy a wizard castle with outside castle walls covered in red and green ivy

Model description

seasonalLandsFluxDev LoRA

A LoRA fine-tune for FLUX.1 [dev] that specializes in generating seasonal landscapes with a focus on autumn scenery, foliage, and natural environments.

Overview

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.

Installation

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

pip install -U diffusers
Usage
Loading with Diffusers
Here's how to apply the LoRA to FLUX.1 [dev]:

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/seasonalLandsFluxDev-lora")

# 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()
Merging LoRA (Optional)
To permanently merge the LoRA weights with the base model:
pythonCopyimport torch
from diffusers import FluxPipeline

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

# Load and merge LoRA weights
pipe.load_lora_weights("Borcherding/SeasonalLandsFluxDev-lora")
pipe.merge_lora_weights()

# Save merged model
pipe.save_pretrained("seasonal-lands-merged")

Trigger Word

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

Prompt Examples "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" Specialized 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

Limitations

This is a LoRA for FLUX.1 [dev] and requires the base model to function Focus on natural landscapes and seasonal elements 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]

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.