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: >-
      Architectural sketch emphasizing large cuboid structures with red framing
      accents. The perspective view captures suspended white cubic volumes with
      red interior cutouts, connected by red steel frameworks. Three human
      figures in silhouette walk toward the foreground, where landscaping
      elements like bushes and pathways are visible. The sketch employs a
      mixture of precise line work and shading, highlighting texture and
      materiality.
    parameters:
      negative_prompt: blurry, cropped, ugly
    output:
      url: ./assets/image_1_0.png

immos_flux

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

The main validation prompt used during training was:

Architectural sketch emphasizing large cuboid structures with red framing accents. The perspective view captures suspended white cubic volumes with red interior cutouts, connected by red steel frameworks. Three human figures in silhouette walk toward the foreground, where landscaping elements like bushes and pathways are visible. The sketch employs a mixture of precise line work and shading, highlighting texture and materiality.

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
Architectural sketch emphasizing large cuboid structures with red framing accents. The perspective view captures suspended white cubic volumes with red interior cutouts, connected by red steel frameworks. Three human figures in silhouette walk toward the foreground, where landscaping elements like bushes and pathways are visible. The sketch employs a mixture of precise line work and shading, highlighting texture and materiality.

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: 7
Training steps: 1000
Learning rate: 0.0001
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: adamw_bf16
Precision: Pure 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

my-dataset-1024

Repeats: 3
Total number of images: 35
Total number of aspect buckets: 4
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 = "Architectural sketch emphasizing large cuboid structures with red framing accents. The perspective view captures suspended white cubic volumes with red interior cutouts, connected by red steel frameworks. Three human figures in silhouette walk toward the foreground, where landscaping elements like bushes and pathways are visible. The sketch employs a mixture of precise line work and shading, highlighting texture and materiality."

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")