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 garfield waifu wearing an apron with a red sphere over her head that
      reads It is Time
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_1_0.png
  - text: >-
      a void of fursuit furries hanging onto the edge of reality as they get
      sucked into a vortex
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_2_0.png
  - text: >-
      furries congregate at walmart to teach about gelatin fountains to adult
      furries
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_3_0.png
  - text: >-
      the furry church congregation looking up at a cinematic movie screen with
      text on it that reads MOOSE = PONY
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_4_0.png
  - text: >-
      furry church congregation singing hymns while they look to a screen with
      lyrics on it that reads THE NEW FRONTIER OF PONY MODELS?
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_5_0.png
  - text: >-
      a furry giving a TED talk with a screen in the background showing bullet
      points: - what furry means, and, - what furry does not mean
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_6_0.png
  - text: a sugar bear named brownie plays basketball with lumps of poop
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_7_0.png
  - text: A photo-realistic image of a cat
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_8_0.png

flux-test

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 cat

Validation settings

CFG: 3.0
CFG Rescale: 0.0
Steps: 20
Sampler: None
Seed: 42
Resolution: 1024x1024

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
a garfield waifu wearing an apron with a red sphere over her head that reads It is Time

Negative Prompt
blurry, cropped, ugly

Prompt
a void of fursuit furries hanging onto the edge of reality as they get sucked into a vortex

Negative Prompt
blurry, cropped, ugly

Prompt
furries congregate at walmart to teach about gelatin fountains to adult furries

Negative Prompt
blurry, cropped, ugly

Prompt
the furry church congregation looking up at a cinematic movie screen with text on it that reads MOOSE = PONY

Negative Prompt
blurry, cropped, ugly

Prompt
furry church congregation singing hymns while they look to a screen with lyrics on it that reads THE NEW FRONTIER OF PONY MODELS?

Negative Prompt
blurry, cropped, ugly

Prompt
a furry giving a TED talk with a screen in the background showing bullet points: - what furry means, and, - what furry does not mean

Negative Prompt
blurry, cropped, ugly

Prompt
a sugar bear named brownie plays basketball with lumps of poop

Negative Prompt
blurry, cropped, ugly

Prompt
A photo-realistic image of a 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: 0
Training steps: 400
Learning rate: 0.0002
Effective batch size: 9
- Micro-batch size: 1
- Gradient accumulation steps: 3
- Number of GPUs: 3
Prediction type: flow-matching
Rescaled betas zero SNR: False
Optimizer: soap
Precision: Pure BF16
Quantised: Yes: int8-quanto
Xformers: Not used
LyCORIS Config:

{
    "algo": "lokr",
    "bypass_mode": true,
    "multiplier": 1.0,
    "linear_dim": 10000,
    "linear_alpha": 1,
    "factor": 8,
    "apply_preset": {
        "target_module": [
            "Attention",
            "FeedForward"
        ],
        "module_algo_map": {
            "Attention": {
                "factor": 8
            },
            "FeedForward": {
                "factor": 6
            }
        }
    }
}

Datasets

sfwbooru

Repeats: 0
Total number of images: ~638952
Total number of aspect buckets: 59
Resolution: 1.048576 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 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=1024,
    height=1024,
    guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")