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Moonlanding-Flux-ST-LoKr-36img-fal-style-captions-512-only

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

No validation prompt was used during training.

None

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 hamster wearing a tiny spacesuit in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A steampunk-inspired hot air balloon floating over an alien landscape in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A Victorian-era robot having a tea party with stuffed animals in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
An astronaut skateboarding on the rings of Saturn in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A jazz band of mythical creatures performing on a floating cloud stage in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A DeLorean car with unusual attachments materializing in a medieval village in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A futuristic city inside a giant glass dome with submarines as public transportation in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A complex Rube Goldberg machine making breakfast in a Victorian kitchen in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A group of friendly aliens having a picnic, with Earth visible in the background in the style of a m00nl4nd1ng photograph
Negative Prompt
blurry, cropped, ugly
Prompt
A mechanical forest powered by a gigantic clockwork heart in the style of a m00nl4nd1ng photograph
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: 5
  • Training steps: 1200
  • Learning rate: 0.0008
  • 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

moonlanding-36img-512

  • Repeats: 5
  • Total number of images: 36
  • Total number of aspect buckets: 1
  • Resolution: 0.262144 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 = "An astronaut is riding a horse through the jungles of Thailand."

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")
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