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https://github.com/invoke-ai/InvokeAI
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* docs: add DyPE implementation plan for FLUX high-resolution generation Add detailed plan for porting ComfyUI-DyPE (Dynamic Position Extrapolation) to InvokeAI, enabling 4K+ image generation with FLUX models without training. Estimated effort: 5-7 developer days. * docs: update DyPE plan with design decisions - Integrate DyPE directly into FluxDenoise (no separate node) - Add 4K preset and "auto" mode for automatic activation - Confirm FLUX Schnell support (same base resolution as Dev) * docs: add activation threshold for DyPE auto mode FLUX can handle resolutions up to ~1.5x natively without artifacts. Set activation_threshold=1536 so DyPE only kicks in above that. * feat(flux): implement DyPE for high-resolution generation Add Dynamic Position Extrapolation (DyPE) support to FLUX models, enabling artifact-free generation at 4K+ resolutions. New files: - invokeai/backend/flux/dype/base.py: DyPEConfig and scaling calculations - invokeai/backend/flux/dype/rope.py: DyPE-enhanced RoPE functions - invokeai/backend/flux/dype/embed.py: DyPEEmbedND position embedder - invokeai/backend/flux/dype/presets.py: Presets (off, auto, 4k) - invokeai/backend/flux/extensions/dype_extension.py: Pipeline integration Modified files: - invokeai/backend/flux/denoise.py: Add dype_extension parameter - invokeai/app/invocations/flux_denoise.py: Add UI parameters UI parameters: - dype_preset: off | auto | 4k - dype_scale: Custom magnitude override (0-8) - dype_exponent: Custom decay speed override (0-1000) Auto mode activates DyPE for resolutions > 1536px. Based on: https://github.com/wildminder/ComfyUI-DyPE * feat(flux): add DyPE preset selector to Linear UI Add Linear UI integration for FLUX DyPE (Dynamic Position Extrapolation): - Add ParamFluxDypePreset component with Off/Auto/4K options - Integrate preset selector in GenerationSettingsAccordion for FLUX models - Add state management (paramsSlice, types) for fluxDypePreset - Add dype_preset to FLUX denoise graph builder and metadata - Add translations for DyPE preset label and popover - Add zFluxDypePresetField schema definition Fix DyPE frequency computation: - Remove incorrect mscale multiplication on frequencies - Use only NTK-aware theta scaling for position extrapolation * feat(flux): add DyPE preset to metadata recall - Add FluxDypePreset handler to ImageMetadataHandlers - Parse dype_preset from metadata and dispatch setFluxDypePreset on recall - Add translation key metadata.dypePreset * chore: remove dype-implementation-plan.md Remove internal planning document from the branch. * chore(flux): bump flux_denoise version to 4.3.0 Version bump for dype_preset field addition. * chore: ruff check fix * chore: ruff format * Fix truncated DyPE label in advanced options UI Shorten the label from "DyPE (High-Res)" to "DyPE" to prevent text truncation in the sidebar. The high-resolution context is preserved in the informational popover tooltip. * Add DyPE preset to recall parameters in image viewer The dype_preset metadata was being saved but not displayed in the Recall Parameters tab. Add FluxDypePreset handler to ImageMetadataActions so users can see and recall this parameter. --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Jonathan <34005131+JPPhoto@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| base_controlnet_extension.py | ||
| dype_extension.py | ||
| instantx_controlnet_extension.py | ||
| kontext_extension.py | ||
| regional_prompting_extension.py | ||
| xlabs_controlnet_extension.py | ||
| xlabs_ip_adapter_extension.py | ||