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
50 lines
1.4 KiB
YAML
50 lines
1.4 KiB
YAML
# Background batch: generate multiple background images from independent prompts.
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#
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# Usage:
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# vnasset pipeline --config examples/backgrounds.yaml
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#
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# Output structure:
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# output/backgrounds_pipeline/
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# pipeline.json
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# backgrounds/
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# classroom.png
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# classroom.json
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# hallway.png
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# hallway.json
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# ...
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session:
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sdxl_checkpoint: models/novaAnimeXL_ilV190.safetensors
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output_dir: output/backgrounds_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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width: 1024
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height: 576
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stages:
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- id: backgrounds
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generate:
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- id: classroom
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prompt: "anime classroom interior, empty, sunlight through windows, desks and chairs, blackboard, warm atmosphere"
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seed: 100
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- id: hallway
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prompt: "anime school hallway, lockers, windows on one side, afternoon light, clean floor"
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seed: 101
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- id: park
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prompt: "anime park, cherry blossoms, green grass, bench, path, spring afternoon, peaceful"
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seed: 102
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- id: rooftop
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prompt: "anime school rooftop, blue sky, chain link fence, water tower, sunset colors"
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seed: 103
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- id: cafe
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prompt: "anime cafe interior, cozy, warm lighting, wooden tables, counter with pastries, quiet afternoon"
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seed: 104
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- id: street
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prompt: "anime city street, shops, pedestrians, evening, neon signs starting to glow"
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seed: 105
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