moon_itso_reduced_512

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 in the style of m00nl4nd1ng

Negative Prompt

blurry, cropped, ugly

Prompt

an astronaut hamster in the style of m00nl4nd1ng

Negative Prompt

blurry, cropped, ugly

Prompt

woman holding a sign that says 'I LOVE PROMPTS!' in the style of m00nl4nd1ng

Negative Prompt

blurry, cropped, ugly

Prompt

a hipster man with a beard, building a chair in the style of m00nl4nd1ng

Negative Prompt

blurry, cropped, ugly

Prompt

Cat with lasers shooting out of its eyes in the style of m00nl4nd1ng

Negative Prompt

blurry, cropped, ugly

Prompt

sports event, athlete in motion, crowd blurred, flare from stadium lights in the style of m00nl4nd1ng

Negative Prompt

blurry, cropped, ugly

Prompt

a man holding a sign that says, 'this is a sign'

Negative Prompt

blurry, cropped, ugly

Prompt

a pig, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle

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: 121
• Training steps: 16000
• Learning rate: 0.0002
• Max grad norm: 2.0
• Effective batch size: 4
  • Micro-batch size: 4
  • Gradient accumulation steps: 1
  • Number of GPUs: 1
• Prediction type: flow-matching (flux parameters=['shift=3', 'flux_guidance_value=1.0'])
• Rescaled betas zero SNR: False
• Optimizer: adamw_bf16
• Precision: Pure BF16
• Quantised: No
• 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

moon_itso_reduced_512

• Repeats: 11
• Total number of images: 42
• Total number of aspect buckets: 1
• Resolution: 0.262144 megapixels
• Cropped: False
• Crop style: None
• Crop aspect: None
• Used for regularisation data: No

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")