bb08efd08c
Multi-stage pipelines declared in YAML: generate, edit (cross-product),
remove_bg, and upscale stages executed sequentially in a single GPU
session. Every intermediate artifact (image + metadata JSON) is saved
to {output_dir}/{stage_id}/ for full traceability.
Data routing:
- generate: list of prompts → list of images (1:1 per item)
- edit: fan-out cross-product (each input × each prompt)
- remove_bg / upscale: 1:1 passthrough
Resume: outputs that already exist are skipped. Use --force to re-run
everything — lets you add items to a stage without regenerating.
Examples: examples/portrait.yaml, examples/backgrounds.yaml
75 lines
2.2 KiB
YAML
75 lines
2.2 KiB
YAML
# Portrait pipeline: generate base character → emotion variants → remove bg → upscale.
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#
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# Usage:
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# vnasset pipeline --config examples/portrait.yaml
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# vnasset pipeline --config examples/portrait.yaml --force # re-run everything
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#
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# Output structure:
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# output/portrait_pipeline/
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# pipeline.json ← pipeline summary
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# base/ ← stage 1: generated portraits
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# heroine.png
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# heroine.json
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# expressions/ ← stage 2: emotion edits (cross-product)
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# heroine_smile.png
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# heroine_smile.json
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# heroine_angry.png
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# ...
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# nobg/ ← stage 3: background removed (RGBA)
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# heroine_smile_nobg.png
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# ...
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# final/ ← stage 4: upscaled 2×
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# heroine_smile_nobg_x2.png
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# ...
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session:
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sdxl_checkpoint: models/novaAnimeXL_ilV190.safetensors
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edit_model: models/qwen_image_edit_2509_fp8_e4m3fn.safetensors
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edit_lora: models/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors
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output_dir: output/portrait_pipeline
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defaults:
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generate:
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steps: 20
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cfg: 4.5
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negative_prompt: "deformed, ugly, bad quality, lowres"
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edit:
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steps: 4
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cfg: 1.0
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stages:
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# ── Stage 1: Generate base character portrait ──
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- id: base
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generate:
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- id: heroine
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prompt: "1girl, solo, red hair, glasses, blue eyes, white crop top, standing, portrait"
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seed: 42
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# ── Stage 2: Edit expression variants (fan-out cross-product) ──
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- id: expressions
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edit:
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input: base
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prompts:
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- id: smile
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text: "make her smile happily with a warm genuine smile"
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- id: angry
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text: "make her look angry and furious, furrowed brow"
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- id: sad
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text: "make her look sad and crying, tears in her eyes"
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- id: surprised
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text: "make her look surprised, wide eyes, mouth slightly open"
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- id: blushing
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text: "make her blush intensely, embarrassed expression, pink cheeks"
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# ── Stage 3: Remove backgrounds (batch 1:1 passthrough) ──
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- id: nobg
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remove_bg:
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input: expressions
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# ── Stage 4: Upscale to 2× resolution ──
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- id: final
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upscale:
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input: nobg
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scale: 2
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