Shilin-LU/TF-ICON

[ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)

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Leverages an off-the-shelf Stable Diffusion model without training or finetuning, using an "exceptional prompt" (information-free text) to improve real image inversion into latent space for accurate composition. The framework performs cross-domain image-guided composition by seamlessly integrating foreground objects into background contexts via diffusion-based inversion and synthesis. Supports both cross-domain and same-domain composition scenarios across diverse visual styles (photorealism, cartoon, oil painting) with customizable input masks and prompts.

821 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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821

Forks

101

Language

Python

License

MIT

Last pushed

Mar 06, 2025

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