File size: 5,406 Bytes
b4d0847 e39e2da 920eed5 a64dfae b4d0847 e39e2da b4d0847 700c32a b4d0847 700c32a b4d0847 dba35c0 b4d0847 3b70775 9c1e31c b4d0847 9c1e31c b4d0847 9c1e31c b4d0847 700c32a b4d0847 9c1e31c b4d0847 9c1e31c b4d0847 9c1e31c b4d0847 9c1e31c 700c32a b4d0847 be70572 3b70775 b4d0847 700c32a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 |
---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
autumnProxy orange and red tree surrounded by grass and leaves with a double
rainbow in the sky above the tree
parameters:
negative_prompt: cartoon, fake
output:
url: images/seasonallandsfluxdev_000100_04_20241227200714.png
- text: 'autumnProxy red and green maple tree looking up at from underneath '
parameters:
negative_prompt: cartoon, fake
output:
url: images/seasonallandsflux_001500_03_20241227091256.png
- text: >-
autumnProxy orange and red tree surrounded by grass and leaves with a double
rainbow in the sky above the tree
parameters:
negative_prompt: cartoon, fake
output:
url: images/seasonallandsfluxdev_000400_04_20241227222430.png
- text: autumnProxy orange and green maple leaf
parameters:
negative_prompt: cartoon, fake
output:
url: images/seasonallandsfluxdev_000900_00_20241228020648.png
- text: autumnProxy red and green leaf
parameters:
negative_prompt: cartoon, fake
output:
url: images/seasonallandsfluxdev_000400_02_20241227221919.png
- text: autumnProxy red maple leaf
parameters:
negative_prompt: cartoon, fake
output:
url: images/seasonallandsfluxdev_000200_02_20241227204642.png
- text: >-
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.
output:
url: images/example_ahrux3gu3.png
- text: >-
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.
output:
url: images/d7224216-f97d-449e-a0ce-507cefc575f4.jpg
- text: >-
autumnProxy a wizard castle with outside castle walls covered in red and
green ivy
output:
url: images/example_c9md0cjot.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: autumnProxy
license: apache-2.0
---
# FLUX.1-dev-LoRA-AutumnSpringTrees
<Gallery />
## Model description
# FLUX.1-dev-LoRA-AutumnSpringTrees 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. Trained using Fluxgym, by cocktail peanut: https://github.com/cocktailpeanut/fluxgym utilizing my own hand collected autumn/spring plant photos dataset.
## 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:
```python
# 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-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()
# 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")
```
# 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](/Borcherding/FLUX.1-dev-LoRA-AutumnSpringTrees-lora/tree/main) them in the Files & versions tab.
|