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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: unconditional (blank prompt)
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_1_1.png
  - text: unconditional (blank prompt)
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_2_2.png
  - text: moonman riding a motorcycle to the sun
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_3_0.png
  - text: moonman riding a motorcycle to the sun
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_4_1.png
  - text: moonman riding a motorcycle to the sun
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_5_2.png
  - text: >-
      moonman on the theatre broadway doing a musical. the banner overhead reads
      TED TALK by MOONMAN
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_6_0.png
  - text: >-
      moonman on the theatre broadway doing a musical. the banner overhead reads
      TED TALK by MOONMAN
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_7_1.png
  - text: >-
      moonman on the theatre broadway doing a musical. the banner overhead reads
      TED TALK by MOONMAN
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_8_2.png
  - text: >-
      moonman the DJ is performing at a club in ibitha in the year 1944, there
      is old timey rave feeling
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_9_0.png
  - text: >-
      moonman the DJ is performing at a club in ibitha in the year 1944, there
      is old timey rave feeling
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_10_1.png
  - text: >-
      moonman the DJ is performing at a club in ibitha in the year 1944, there
      is old timey rave feeling
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_11_2.png
  - text: moonman the anime character fighting with an anthropomorphic tree
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_12_0.png
  - text: moonman the anime character fighting with an anthropomorphic tree
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_13_1.png
  - text: moonman the anime character fighting with an anthropomorphic tree
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_14_2.png
  - text: >-
      moonman a rollercoaster mechanic working hard on the underlying gears and
      structures of the famous rollercoaster
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_15_0.png
  - text: >-
      moonman a rollercoaster mechanic working hard on the underlying gears and
      structures of the famous rollercoaster
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_16_1.png
  - text: >-
      moonman a rollercoaster mechanic working hard on the underlying gears and
      structures of the famous rollercoaster
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_17_2.png
  - text: moonman the musician on stage performing to a crowd of people
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_18_0.png
  - text: moonman the musician on stage performing to a crowd of people
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_19_1.png
  - text: moonman the musician on stage performing to a crowd of people
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_20_2.png
  - text: A photo-realistic image of a moonman cat
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_21_0.png
  - text: A photo-realistic image of a moonman cat
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_22_1.png
  - text: A photo-realistic image of a moonman cat
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_23_2.png

simpletuner-lokr-moonman

This is a LyCORIS adapter derived from black-forest-labs/FLUX.1-dev.

The main validation prompt used during training was:

A photo-realistic image of a moonman cat

Validation settings

  • CFG: 3.0
  • CFG Rescale: 0.0
  • Steps: 20
  • Sampler: None
  • Seed: 42
  • Resolutions: 512x512,1024x1024,1280x768

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
unconditional (blank prompt)
Negative Prompt
blurry, cropped, ugly
Prompt
unconditional (blank prompt)
Negative Prompt
blurry, cropped, ugly
Prompt
moonman riding a motorcycle to the sun
Negative Prompt
blurry, cropped, ugly
Prompt
moonman riding a motorcycle to the sun
Negative Prompt
blurry, cropped, ugly
Prompt
moonman riding a motorcycle to the sun
Negative Prompt
blurry, cropped, ugly
Prompt
moonman on the theatre broadway doing a musical. the banner overhead reads TED TALK by MOONMAN
Negative Prompt
blurry, cropped, ugly
Prompt
moonman on the theatre broadway doing a musical. the banner overhead reads TED TALK by MOONMAN
Negative Prompt
blurry, cropped, ugly
Prompt
moonman on the theatre broadway doing a musical. the banner overhead reads TED TALK by MOONMAN
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the DJ is performing at a club in ibitha in the year 1944, there is old timey rave feeling
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the DJ is performing at a club in ibitha in the year 1944, there is old timey rave feeling
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the DJ is performing at a club in ibitha in the year 1944, there is old timey rave feeling
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the anime character fighting with an anthropomorphic tree
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the anime character fighting with an anthropomorphic tree
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the anime character fighting with an anthropomorphic tree
Negative Prompt
blurry, cropped, ugly
Prompt
moonman a rollercoaster mechanic working hard on the underlying gears and structures of the famous rollercoaster
Negative Prompt
blurry, cropped, ugly
Prompt
moonman a rollercoaster mechanic working hard on the underlying gears and structures of the famous rollercoaster
Negative Prompt
blurry, cropped, ugly
Prompt
moonman a rollercoaster mechanic working hard on the underlying gears and structures of the famous rollercoaster
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the musician on stage performing to a crowd of people
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the musician on stage performing to a crowd of people
Negative Prompt
blurry, cropped, ugly
Prompt
moonman the musician on stage performing to a crowd of people
Negative Prompt
blurry, cropped, ugly
Prompt
A photo-realistic image of a moonman cat
Negative Prompt
blurry, cropped, ugly
Prompt
A photo-realistic image of a moonman cat
Negative Prompt
blurry, cropped, ugly
Prompt
A photo-realistic image of a moonman cat
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: 128
  • Training steps: 10000
  • Learning rate: 0.001
  • 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-stableadamw
  • Precision: 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": [
            "Attention",
            "FeedForward"
        ],
        "module_algo_map": {
            "Attention": {
                "factor": 16
            },
            "FeedForward": {
                "factor": 8
            }
        }
    }
}

Datasets

moonman1024

  • Repeats: 0
  • Total number of images: 26
  • Total number of aspect buckets: 9
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

moonman512

  • Repeats: 0
  • Total number of images: 26
  • Total number of aspect buckets: 7
  • Resolution: 0.262144 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

moonman768

  • Repeats: 0
  • Total number of images: 26
  • Total number of aspect buckets: 7
  • Resolution: 0.589824 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

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 = "A photo-realistic image of a moonman cat"

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=512,
    height=512,
    guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")