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flux-sfwbooru-3.5M-lokr

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template:sd-lora
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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-sfwbooru-3.5M-lokr

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: 1100
  • Learning rate: 0.0001
  • Effective batch size: 6
    • Micro-batch size: 2
    • Gradient accumulation steps: 1
    • Number of GPUs: 3
  • 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": 8,
    "apply_preset": {
        "target_module": [
            "Attention",
            "FeedForward"
        ],
        "module_algo_map": {
            "Attention": {
                "factor": 6
            },
            "FeedForward": {
                "factor": 4
            }
        }
    }
}

Datasets

sfwbooru

  • Repeats: 0
  • Total number of images: ~639264
  • Total number of aspect buckets: 80
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

normalnudes

  • Repeats: 50
  • Total number of images: ~1233
  • Total number of aspect buckets: 31
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

guys

  • Repeats: 0
  • Total number of images: ~390
  • Total number of aspect buckets: 16
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

signs

  • Repeats: 0
  • Total number of images: ~435
  • Total number of aspect buckets: 19
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

nsfw-1024

  • Repeats: 0
  • Total number of images: ~10830
  • Total number of aspect buckets: 14
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

anatomy

  • Repeats: 2
  • Total number of images: ~16440
  • Total number of aspect buckets: 24
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

yoga

  • Repeats: 0
  • Total number of images: ~3642
  • Total number of aspect buckets: 20
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

photo-aesthetics

  • Repeats: 0
  • Total number of images: ~33171
  • Total number of aspect buckets: 30
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

text-1mp

  • Repeats: 125
  • Total number of images: ~13221
  • Total number of aspect buckets: 4
  • Resolution: 1.048576 megapixels
  • Cropped: False
  • Crop style: None
  • Crop aspect: None

normalnudes-crop

  • Repeats: 50
  • Total number of images: ~1146
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

guys-crop

  • Repeats: 0
  • Total number of images: ~381
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

signs-crop

  • Repeats: 0
  • Total number of images: ~417
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

nsfw-1024-crop

  • Repeats: 0
  • Total number of images: ~10818
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

anatomy-crop

  • Repeats: 2
  • Total number of images: ~16425
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

yoga-crop

  • Repeats: 0
  • Total number of images: ~3618
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

photo-aesthetics-crop

  • Repeats: 0
  • Total number of images: ~33141
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 megapixels
  • Cropped: True
  • Crop style: random
  • Crop aspect: square

text-1mp-crop

  • Repeats: 125
  • Total number of images: ~13194
  • Total number of aspect buckets: 1
  • Resolution: 1.048576 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 = "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")