feat(channel): fal.ai async task channel - #12
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Clone KIE channel pattern for fal.ai integration:
- constants.go: model list (openai/gpt-image-2 t2i/edit),
quality ratio weights (low/medium/high)
- adaptor.go: async task adaptor with dynamic URL
{baseURL}/{model_name}, EstimateBilling by quality,
result polling via {model}/requests/{id}
- constant/channel.go: ChannelTypeFalAI=60
- relay/relay_adaptor.go: GetTaskAdaptor wiring
- web: channel icon from lobehub
…ssic themes - Classic theme: add Fal.ai entry to channel.constants.js and getChannelIcon() in render.jsx - Default theme: update label from FalAI to Fal.ai in constants.ts - Icon: https://icons.lobehub.com/components/fal
… channel icon
- Classic theme: import Fal from @lobehub/icons/es/Fal (not in barrel export)
- Use <Fal.Color size={iconSize} /> instead of <img> tag
- Display label: Fal.ai
Replace hardcoded quality ratios (1/9/35 for t2i, 1/4/15 for i2i) with 18-entry size×quality matrices based on fal.ai actual pricing. - constants.go: pricingMatrix (t2i) + pricingMatrixEdit (i2i) - adaptor.go: EstimateBilling uses size+quality to look up multiplier - channel.go: DefaultBaseURL → queue.fal.run All multipliers relative to base: 1024×1024 low t2i = $0.006 = 1× ModelPrice of 0.042 (≈USD base × 7) gives 0% deviation across all 6 sizes × 3 qualities.
Includes API reference, parameter defaults, billing explanation, and 36-entry pricing table (18 t2i + 18 i2i) in RMB.
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fal.ai async task channel (type 60) with 6x3 pricing matrix for t2i+i2i, queue.fal.run async API, dual-theme frontend, docs.