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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.

インストール方法を見る

含まれるファイル(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(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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