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-attempt2
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:
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 0
- Training steps: 3300
- Learning rate: 0.0003
- 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: adamw_bf16weight_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: 30
- 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: 28
- 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")