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: >-
In the image, PhongKamy is portrayed in a thoughtful pose. He is seated on
a simple, modern white platform against a soft, light gray background that
enhances the serene atmosphere. PhongKamy has neat, slightly wavy hair
styled closely on the sides and with more volume on top. He is wearing a
crisp, white dress shirt, which is neatly buttoned up and has long sleeves
that are slightly rolled back at the wrists, giving a relaxed yet polished
look. His expression is contemplative, with a slight smile playing at the
corners of his mouth. PhongKamy holds a pair of glasses in his right hand,
delicately resting them near his chin, adding an air of sophistication.
His left arm is positioned casually on his knee, showing a relaxed
demeanor. He wears tailored black trousers that contrast well with his
white shirt. Overall, the composition focuses on PhongKamy's thoughtful
expression and stylish appearance, creating a captivating and elegant
portrait.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_1_0.png
- text: >-
In the image, PhongKamy stands confidently against a light gray
background. He is wearing a crisp white shirt that is neatly buttoned up,
exuding a professional appearance. His glasses add a touch of
sophistication, framing his face. PhongKamy holds a vibrant red passport
in one hand, which features a prominent compass design on the cover,
suggesting a theme of travel or adventure. His other hand is casually
placed in his pocket, and he has a relaxed yet poised expression, gazing
slightly upward, as if contemplating future journeys. Below his shirt, he
wears dark trousers, complemented by a brown belt with a shiny buckle,
adding a stylish contrast to his outfit. The overall composition captures
a sense of ambition and readiness for exploration.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_2_0.png
- text: >-
In the image, PhongKamy is posed in a relaxed manner, conveying a sense of
calm and confidence. He is wearing a crisp white shirt that contrasts
nicely against his darker pants. The shirt has a classic collar and is
unbuttoned at the top, giving it a casual yet polished look. PhongKamy's
dark hair is neatly styled, with a slight wave, enhancing his youthful
appearance. He is seated with one leg crossed over the other, and he holds
a pair of clear, stylish glasses in one hand, suggesting a thoughtful
demeanor. His smile is warm and inviting, reflecting a friendly
personality. The background is a soft gray, which allows PhongKamy to
stand out as the focal point of the image. The lighting is soft and
diffused, creating a flattering effect on his features and adding to the
overall serene atmosphere of the portrait.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_3_0.png
simpletuner-lora
This is a LyCORIS adapter derived from black-forest-labs/FLUX.1-dev.
The main validation prompt used during training was:
In the image, PhongKamy is posed in a relaxed manner, conveying a sense of calm and confidence. He is wearing a crisp white shirt that contrasts nicely against his darker pants. The shirt has a classic collar and is unbuttoned at the top, giving it a casual yet polished look. PhongKamy's dark hair is neatly styled, with a slight wave, enhancing his youthful appearance. He is seated with one leg crossed over the other, and he holds a pair of clear, stylish glasses in one hand, suggesting a thoughtful demeanor. His smile is warm and inviting, reflecting a friendly personality. The background is a soft gray, which allows PhongKamy to stand out as the focal point of the image. The lighting is soft and diffused, creating a flattering effect on his features and adding to the overall serene atmosphere of the portrait.
Validation settings
- CFG:
3.0
- CFG Rescale:
0.0
- Steps:
20
- Sampler:
FlowMatchEulerDiscreteScheduler
- Seed:
42
- Resolution:
1024x1024
- Skip-layer guidance:
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: 0
- Training steps: 10000
- Learning rate: 0.0001
- Learning rate schedule: polynomial
- Warmup steps: 100
- Max grad norm: 1.0
- Effective batch size: 1
- Micro-batch size: 1
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Gradient checkpointing: True
- Prediction type: flow-matching (extra parameters=['shift=3', 'flux_guidance_mode=constant', 'flux_guidance_value=1.0', 'flow_matching_loss=compatible'])
- Optimizer: adamw_bf16
- Trainable parameter precision: Pure BF16
- Caption dropout probability: 10.0%
LyCORIS Config:
{
"algo": "lokr",
"multiplier": 1.0,
"linear_dim": 10000,
"linear_alpha": 1,
"factor": 16,
"apply_preset": {
"target_module": [
"Attention",
"FeedForward"
],
"module_algo_map": {
"Attention": {
"factor": 16
},
"FeedForward": {
"factor": 8
}
}
}
}
Datasets
behitek-subject
- Repeats: 1000
- Total number of images: 22
- Total number of aspect buckets: 1
- Resolution: 1.048576 megapixels
- Cropped: True
- Crop style: center
- Crop aspect: square
- Used for regularisation data: No
behitek-subject-512
- Repeats: 1000
- Total number of images: 22
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: True
- Crop style: center
- Crop aspect: square
- Used for regularisation data: No
Inference
import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights
def download_adapter(repo_id: str):
import os
from huggingface_hub import hf_hub_download
adapter_filename = "pytorch_lora_weights.safetensors"
cache_dir = os.environ.get('HF_PATH', os.path.expanduser('~/.cache/huggingface/hub/models'))
cleaned_adapter_path = repo_id.replace("/", "_").replace("\\", "_").replace(":", "_")
path_to_adapter = os.path.join(cache_dir, cleaned_adapter_path)
path_to_adapter_file = os.path.join(path_to_adapter, adapter_filename)
os.makedirs(path_to_adapter, exist_ok=True)
hf_hub_download(
repo_id=repo_id, filename=adapter_filename, local_dir=path_to_adapter
)
return path_to_adapter_file
model_id = 'black-forest-labs/FLUX.1-dev'
adapter_repo_id = 'phongmt184172/simpletuner-lora'
adapter_filename = 'pytorch_lora_weights.safetensors'
adapter_file_path = download_adapter(repo_id=adapter_repo_id)
pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_file_path, pipeline.transformer)
wrapper.merge_to()
prompt = "In the image, PhongKamy is posed in a relaxed manner, conveying a sense of calm and confidence. He is wearing a crisp white shirt that contrasts nicely against his darker pants. The shirt has a classic collar and is unbuttoned at the top, giving it a casual yet polished look. PhongKamy's dark hair is neatly styled, with a slight wave, enhancing his youthful appearance. He is seated with one leg crossed over the other, and he holds a pair of clear, stylish glasses in one hand, suggesting a thoughtful demeanor. His smile is warm and inviting, reflecting a friendly personality. The background is a soft gray, which allows PhongKamy to stand out as the focal point of the image. The lighting is soft and diffused, creating a flattering effect on his features and adding to the overall serene atmosphere of the portrait."
## Optional: quantise the model to save on vram.
## Note: The model was quantised during training, and so it is recommended to do the same during inference time.
from optimum.quanto import quantize, freeze, qint8
quantize(pipeline.transformer, weights=qint8)
freeze(pipeline.transformer)
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') # the pipeline is already in its target precision level
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(42),
width=1024,
height=1024,
guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")