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custom-diffusion

Route Custom Diffusion workflows for concept data prep, diffusers training and SDXL, sample generation, delta tools, and CustomConcept101 evaluation.

The English summary is being prepared. Showing the original description.

See how to install

Files included (34)

  • SKILL.md2.8 KB
  • references/repo-provenance.md1.5 KB
  • references/repo-routing-metadata.json432 B
  • references/troubleshooting.md2.7 KB
  • references/workflows.md3.4 KB
  • scripts/check_runtime.py2.3 KB
  • scripts/validate_concepts.py2.9 KB
  • sub-skills/benchmarking/references/data-formats.md2.2 KB
  • sub-skills/benchmarking/references/troubleshooting.md826 B
  • sub-skills/benchmarking/references/workflows.md1013 B
  • sub-skills/benchmarking/scripts/validate_benchmark_layout.py2.8 KB
  • sub-skills/benchmarking/SKILL.md1.4 KB
  • sub-skills/checkpoint-tools/references/api-reference.md1.9 KB
  • sub-skills/checkpoint-tools/references/troubleshooting.md919 B
  • sub-skills/checkpoint-tools/references/workflows.md1.1 KB
  • sub-skills/checkpoint-tools/scripts/check_delta_layout.py4.9 KB
  • sub-skills/checkpoint-tools/scripts/compress_delta.py4.2 KB
  • sub-skills/checkpoint-tools/scripts/extract_deltas.py3.7 KB
  • sub-skills/checkpoint-tools/SKILL.md1.3 KB
  • sub-skills/data-preparation/references/data-formats.md1.9 KB
  • sub-skills/data-preparation/references/troubleshooting.md1.0 KB
  • sub-skills/data-preparation/references/workflows.md1.2 KB
  • sub-skills/data-preparation/scripts/validate_regularization_layout.py4.8 KB
  • sub-skills/data-preparation/SKILL.md1.5 KB
  • sub-skills/inference/references/api-reference.md1.9 KB
  • sub-skills/inference/references/troubleshooting.md1.2 KB
  • sub-skills/inference/references/workflows.md1.4 KB
  • sub-skills/inference/SKILL.md1.5 KB
  • sub-skills/training/references/cli-reference.md3.8 KB
  • sub-skills/training/references/data-formats.md1.4 KB
  • sub-skills/training/references/troubleshooting.md1.3 KB
  • sub-skills/training/references/workflows.md1.4 KB
  • sub-skills/training/scripts/validate_training_inputs.py6.6 KB
  • sub-skills/training/SKILL.md1.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Custom Diffusion

Use this repo skill for the diffusers-side Custom Diffusion workflow family:

  • prepare concept data and real-prior bundles
  • train single- and multi-concept models with diffusers or SDXL
  • sample from delta checkpoints
  • extract, compress, and compose delta artifacts
  • evaluate generated samples on CustomConcept101

Start here

  1. Read references/repo-provenance.md to confirm the source baseline.
  2. Read references/workflows.md for the route map.
  3. Run scripts/check_runtime.py --require-cuda to confirm the CUDA/import stack.
  4. Use scripts/validate_concepts.py when a concept-list JSON needs a structural check.
  5. Open the focused sub-skill for the task family you have.

Routes

data-preparation

Use when you need instance images, real-prior image lists, caption files, or concept JSON for training. Start with sub-skills/data-preparation/SKILL.md.

training

Use when you need diffusers training, SDXL training, prior preservation, modifier tokens, or checkpoint output planning. Start with sub-skills/training/SKILL.md.

inference

Use when you need to load a Custom Diffusion delta and generate samples from prompts or prompt files. Start with sub-skills/inference/SKILL.md.

checkpoint-tools

Use when you need delta extraction, compression, or composition. Start with sub-skills/checkpoint-tools/SKILL.md.

benchmarking

Use when you need to score generated images with CustomConcept101 CLIP/DINO evaluation. Start with sub-skills/benchmarking/SKILL.md.

Install and runtime notes

  • Use Python 3.11 or newer.
  • Install a CUDA-enabled PyTorch/torchvision pair before the diffusers workflows.
  • Verified public stack: diffusers==0.21.4, accelerate==0.24.1, transformers==4.31.0, clip-retrieval==2.45.0, pandas, scipy, scikit-learn, tqdm.
  • Optional workflow extras: xformers, bitsandbytes, deepspeed, modelcards.
  • The source training, sampling, compression, composition, and evaluation flows are CUDA-backed; the delta extraction route is the only selected CPU-substitutable workflow.
  • Legacy checkout-based Stable Diffusion scripts are treated as reference-only or excluded in this generated skill.

Minimal smoke check

After installing the stack, run:

python scripts/check_runtime.py --require-cuda

If you are only checking importability, omit --require-cuda.

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