metadata
license: other
base_model: black-forest-labs/FLUX.1-dev
tags:
- flux
- flux-diffusers
- text-to-image
- diffusers
- simpletuner
- not-for-all-audiences
- lora
- template:sd-lora
- lycoris
inference: true
widget:
- text: unconditional (blank prompt)
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_0_0.png
- text: >-
a breathtaking anime-style portrait of <nvzhu2>, capturing her essence
with vibrant colors and expressive features
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_1_0.png
- text: >-
a high-quality, detailed photograph of <nvzhu2> as a sous-chef, immersed
in the art of culinary creation
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_2_0.png
- text: >-
a lifelike and intimate portrait of <nvzhu2>, showcasing her unique
personality and charm
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_3_0.png
- text: >-
a cinematic, visually stunning photo of <nvzhu2>, emphasizing her dramatic
and captivating presence
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_4_0.png
- text: >-
an elegant and timeless portrait of <nvzhu2>, exuding grace and
sophistication
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_5_0.png
- text: >-
a dynamic and adventurous photo of <nvzhu2>, captured in an exciting,
action-filled moment
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_6_0.png
- text: >-
a mysterious and enigmatic portrait of <nvzhu2>, shrouded in shadows and
intrigue
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_7_0.png
- text: >-
a vintage-style portrait of <nvzhu2>, evoking the charm and nostalgia of a
bygone era
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_8_0.png
- text: >-
an artistic and abstract representation of <nvzhu2>, blending creativity
with visual storytelling
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_9_0.png
- text: >-
a futuristic and cutting-edge portrayal of <nvzhu2>, set against a
backdrop of advanced technology
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_10_0.png
- text: >-
an elegant and timeless portrait of nvzhu2, exuding grace and
sophistication
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_11_0.png
simpletuner-lora-nvzhu2
This is a LyCORIS adapter derived from black-forest-labs/FLUX.1-dev.
The main validation prompt used during training was:
an elegant and timeless portrait of nvzhu2, exuding grace and sophistication
Validation settings
- CFG:
3.0
- CFG Rescale:
0.0
- Steps:
20
- Sampler:
None
- Seed:
427
- Resolution:
1024x768
Note: The validation settings are not necessarily the same as the training settings.
You can find some example images in the following gallery:
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 5
- Training steps: 3000
- Learning rate: 0.0001
- Effective batch size: 1
- Micro-batch size: 1
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: optimi-stableadamwweight_decay=1e-3
- Precision: Pure BF16
- Quantised: Yes: int8-quanto
- Xformers: Not used
- LyCORIS Config:
{
"algo": "lokr",
"multiplier": 1.0,
"linear_dim": 10000,
"linear_alpha": 1,
"factor": 16,
"apply_preset": {
"target_module": [
"FluxTransformerBlock",
"FluxSingleTransformerBlock"
],
"module_algo_map": {
"Attention": {
"factor": 16
},
"FeedForward": {
"factor": 8
}
}
}
}
Datasets
nvzhu2-dataset-1536
- Repeats: 0
- Total number of images: 88
- Total number of aspect buckets: 1
- Resolution: 2.359296 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
nvzhu2-dataset-1024
- Repeats: 0
- Total number of images: 88
- Total number of aspect buckets: 2
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
nvzhu2-dataset-512
- Repeats: 0
- Total number of images: 88
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
nvzhu2-dataset-1536-crop
- Repeats: 0
- Total number of images: 88
- Total number of aspect buckets: 1
- Resolution: 2.359296 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: square
nvzhu2-dataset_1024-crop
- Repeats: 0
- Total number of images: 88
- Total number of aspect buckets: 1
- Resolution: 1.048576 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: square
nvzhu2-dataset_512-crop
- Repeats: 0
- Total number of images: 88
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: square
Inference
import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights
model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
wrapper.merge_to()
prompt = "an elegant and timeless portrait of nvzhu2, exuding grace and sophistication"
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
prompt=prompt,
num_inference_steps=20,
generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
width=1024,
height=768,
guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")