Mike Shou, Yiren Song, Danze Chen
We lifted 17 functions out of this paper's own repositories and ran 13 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| showlab/LayerTracer | — | 13 of 17 |
| Function | Status | Where it lives |
|---|---|---|
| EmbedND | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("ff3bd9590c746556") |
| LastLayer | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("1657e2f4b8f0d910") |
| MLPEmbedder | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("6cf66c6c8edfc81d") |
| Modulation | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("901a2b936492d22c") |
| ModulationOut | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("56b80dad0a888bb4") |
| QKNorm | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("e8f4e017c2ad4d90") |
| RMSNorm | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("4de3b3072dadcd2f") |
| SelfAttention | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("597cb2e18f1492d8") |
| SingleStreamBlock | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("79adbda2334eb842") |
| rope | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("6d4efcd033e6cec0") |
| timestep_embedding | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("0a1aadb08bf169c1") |
| to_cpu | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("d563d17c7c16ce57") |
| to_cuda | Ran | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("ad2b5d7635e16978") |
| DoubleStreamBlock | Not yet run | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("f46b17d2c0efc87a") |
| Flux | Not yet run | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("0b34080d58d0c7bf") |
| apply_rope | Not yet run | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("ad4327d0fd3beb3a") |
| attention | Not yet run | showlab/LayerTracer/library/flux_models.py code served (permissive licence) · get_code("b4b29f7369dbaf95") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Layer-wise Vectoriza3on an icon of a bottle with a lightning symbol a emoji of female doctor a castle icon with line outlines an icon of iced lemon tea an icon of a logistics customer service An icon of a delivery truck with a notification bell Input image Figure 1. LayerTracer creates cognitively aligned layered SVGs from text prompts or by converting images into layered SVGs.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2502.01105")
get_code_for_paper("2502.01105")
have("2502.01105")
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