metadata

license: other
base_model: black-forest-labs/FLUX.1-dev
tags:
  - flux
  - flux-diffusers
  - text-to-image
  - diffusers
  - simpletuner
  - lora
  - template:sd-lora
inference: true
widget:
  - text: unconditional (blank prompt)
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_0_0.png
  - text: >-
      Dr. Seuss during a book signing event, seated at a table with an open book
      and pen in hand, his characteristic white beard, clear-rimmed glasses, and
      whimsical bow tie complementing his calm, attentive expression, all within
      the literary setting of a bookstore, reflecting his enduring connection
      with readers and the joy his work brought to many.
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_1_0.png
  - text: Anime picture of famed author Dr. Seuss in a Studio Ghibli style
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_2_0.png
  - text: Dr. Seuss in a leather jacket riding a Harley Davidson Motorcycle
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_3_0.png
  - text: >-
      Famous author Dr. Seuss holding a chainsaw while riding around on a
      unicycle, vintage TV still from the Dick Van Dyke show
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_4_0.png
  - text: A photograph of Dr. Seuss riding in a horse-drawn carriage
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_5_0.png

flux-training-seuss-lora-bsz-4

This is a standard PEFT LoRA derived from black-forest-labs/FLUX.1-dev.

The main validation prompt used during training was:

A photograph of Dr. Seuss riding in a horse-drawn carriage

Validation settings

CFG: 3.5
CFG Rescale: 0.0
Steps: 15
Sampler: None
Seed: 42
Resolution: 1024

Note: The validation settings are not necessarily the same as the training settings.

You can find some example images in the following gallery:

Prompt
unconditional (blank prompt)

Negative Prompt
blurry, cropped, ugly

Prompt
Dr. Seuss during a book signing event, seated at a table with an open book and pen in hand, his characteristic white beard, clear-rimmed glasses, and whimsical bow tie complementing his calm, attentive expression, all within the literary setting of a bookstore, reflecting his enduring connection with readers and the joy his work brought to many.

Negative Prompt
blurry, cropped, ugly

Prompt
Anime picture of famed author Dr. Seuss in a Studio Ghibli style

Negative Prompt
blurry, cropped, ugly

Prompt
Dr. Seuss in a leather jacket riding a Harley Davidson Motorcycle

Negative Prompt
blurry, cropped, ugly

Prompt
Famous author Dr. Seuss holding a chainsaw while riding around on a unicycle, vintage TV still from the Dick Van Dyke show

Negative Prompt
blurry, cropped, ugly

Prompt
A photograph of Dr. Seuss riding in a horse-drawn carriage

Negative Prompt
blurry, cropped, ugly

The text encoder was not trained. You may reuse the base model text encoder for inference.

Training settings

Training epochs: 0
Training steps: 100
Learning rate: 0.0008
Effective batch size: 4
- Micro-batch size: 4
- Gradient accumulation steps: 1
- Number of GPUs: 1
Prediction type: flow-matching
Rescaled betas zero SNR: False
Optimizer: adamw_bf16
Precision: bf16
Quantised: No
Xformers: Not used
LoRA Rank: 16
LoRA Alpha: None
LoRA Dropout: 0.1
LoRA initialisation style: default

Datasets

default_dataset_arb

Repeats: 100
Total number of images: 4
Total number of aspect buckets: 3
Resolution: 1.5 megapixels
Cropped: False
Crop style: None
Crop aspect: None

default_dataset

Repeats: 100
Total number of images: 3
Total number of aspect buckets: 1
Resolution: 1.048576 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_512

Repeats: 100
Total number of images: 4
Total number of aspect buckets: 1
Resolution: 0.262144 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_576

Repeats: 100
Total number of images: 4
Total number of aspect buckets: 1
Resolution: 0.331776 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_640

Repeats: 100
Total number of images: 4
Total number of aspect buckets: 1
Resolution: 0.4096 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_704

Repeats: 100
Total number of images: 4
Total number of aspect buckets: 1
Resolution: 0.495616 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_768

Repeats: 100
Total number of images: 3
Total number of aspect buckets: 1
Resolution: 0.589824 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_832

Repeats: 100
Total number of images: 3
Total number of aspect buckets: 1
Resolution: 0.692224 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_896

Repeats: 100
Total number of images: 3
Total number of aspect buckets: 1
Resolution: 0.802816 megapixels
Cropped: True
Crop style: random
Crop aspect: square

default_dataset_960

Repeats: 100
Total number of images: 3
Total number of aspect buckets: 1
Resolution: 0.9216 megapixels
Cropped: True
Crop style: random
Crop aspect: square

Inference

import torch
from diffusers import DiffusionPipeline

model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'jimmycarter/flux-training-seuss-lora-bsz-4'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "A photograph of Dr. Seuss riding in a horse-drawn carriage"

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=15,
    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=1024,
    guidance_scale=3.5,
).images[0]
image.save("output.png", format="PNG")