Image-to-Image
Diffusers
Safetensors
image-decomposition
layered-image-editing
diffusion
flux
lora
transparent-rgba
Instructions to use SynLayers/synlayers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SynLayers/synlayers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SynLayers/synlayers") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Upload dataset/dataset_construction.sh with huggingface_hub
Browse files
dataset/dataset_construction.sh
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#!/usr/bin/env bash
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PYTHON_BIN="${PYTHON_BIN:-python}"
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: "${BLENDED_DIR:?Set BLENDED_DIR}"
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: "${LAION_DIR:?Set LAION_DIR}"
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: "${CAPTION_DIR:?Set CAPTION_DIR}"
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: "${OUTPUT_DIR:?Set OUTPUT_DIR}"
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CAPTION_META="${CAPTION_META:-${CAPTION_DIR}/captions.jsonl}"
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NUM_SAMPLES="${NUM_SAMPLES:-500000}"
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START_INDEX="${START_INDEX:-0}"
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SEED="${SEED:-42}"
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MAX_BASE_SAMPLES="${MAX_BASE_SAMPLES:-18000}"
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MIN_DONOR_SAMPLES="${MIN_DONOR_SAMPLES:-1}"
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MAX_DONOR_SAMPLES="${MAX_DONOR_SAMPLES:-4}"
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MIN_LAYERS_PER_DONOR="${MIN_LAYERS_PER_DONOR:-0}"
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MAX_LAYERS_PER_DONOR="${MAX_LAYERS_PER_DONOR:-2}"
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MIN_LAYERS_TO_REMOVE="${MIN_LAYERS_TO_REMOVE:-1}"
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MAX_LAYERS_TO_REMOVE="${MAX_LAYERS_TO_REMOVE:-4}"
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ADDED_LAYER_MIN_SIZE="${ADDED_LAYER_MIN_SIZE:-0.9}"
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ADDED_LAYER_MAX_SIZE="${ADDED_LAYER_MAX_SIZE:-1.1}"
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LAION_PROB="${LAION_PROB:-0.60}"
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CAPTION_PROB="${CAPTION_PROB:-0.35}"
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LAION_MIN_SIZE="${LAION_MIN_SIZE:-0.3}"
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LAION_MAX_SIZE="${LAION_MAX_SIZE:-0.4}"
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CAPTION_MIN_SIZE="${CAPTION_MIN_SIZE:-0.6}"
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CAPTION_MAX_SIZE="${CAPTION_MAX_SIZE:-0.8}"
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ALPHAVAE_MIN_LAYERS="${ALPHAVAE_MIN_LAYERS:-0}"
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ALPHAVAE_MAX_LAYERS="${ALPHAVAE_MAX_LAYERS:-0}"
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ALPHAVAE_MIN_SIZE="${ALPHAVAE_MIN_SIZE:-0.25}"
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ALPHAVAE_MAX_SIZE="${ALPHAVAE_MAX_SIZE:-0.40}"
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NUM_WORKERS="${NUM_WORKERS:-64}"
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SKIP_EXISTING="${SKIP_EXISTING:-0}"
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cmd=(
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"$PYTHON_BIN" "$SCRIPT_DIR/scaleup_dataset.py"
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--blended_dir "$BLENDED_DIR"
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--laion_dir "$LAION_DIR"
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--caption_dir "$CAPTION_DIR"
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--caption_meta "$CAPTION_META"
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--output_dir "$OUTPUT_DIR"
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--num_samples "$NUM_SAMPLES"
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--start_index "$START_INDEX"
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--seed "$SEED"
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--min_donor_samples "$MIN_DONOR_SAMPLES"
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--max_donor_samples "$MAX_DONOR_SAMPLES"
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--min_layers_per_donor "$MIN_LAYERS_PER_DONOR"
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--max_layers_per_donor "$MAX_LAYERS_PER_DONOR"
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--added_layer_min_size "$ADDED_LAYER_MIN_SIZE"
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--added_layer_max_size "$ADDED_LAYER_MAX_SIZE"
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--laion_prob "$LAION_PROB"
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--caption_prob "$CAPTION_PROB"
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--laion_min_size "$LAION_MIN_SIZE"
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--laion_max_size "$LAION_MAX_SIZE"
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--caption_min_size "$CAPTION_MIN_SIZE"
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--caption_max_size "$CAPTION_MAX_SIZE"
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--min_layers_to_remove "$MIN_LAYERS_TO_REMOVE"
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--max_layers_to_remove "$MAX_LAYERS_TO_REMOVE"
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--alphavae_min_layers "$ALPHAVAE_MIN_LAYERS"
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--alphavae_max_layers "$ALPHAVAE_MAX_LAYERS"
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--alphavae_min_size "$ALPHAVAE_MIN_SIZE"
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--alphavae_max_size "$ALPHAVAE_MAX_SIZE"
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--max_base_samples "$MAX_BASE_SAMPLES"
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--num_workers "$NUM_WORKERS"
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)
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if [[ -n "${ALPHAVAE_DIR:-}" ]]; then
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cmd+=(--alphavae_dir "$ALPHAVAE_DIR")
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fi
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if [[ -n "${ALPHAVAE_PROMPTS:-}" ]]; then
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cmd+=(--alphavae_prompts "$ALPHAVAE_PROMPTS")
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fi
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if [[ "$SKIP_EXISTING" == "1" ]]; then
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cmd+=(--skip_existing)
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fi
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"${cmd[@]}"
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