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* Update to Transformers 5.1.0 * remove extra stuff * chore(deps): compel fork + transformers>=5.9.0 + remove override Switches compel from PyPI 2.1.1 to invoke-ai/compel@main fork which supports transformers 5.x. Bumps transformers floor to 5.9.0. Removes the transformers>=5.1.0 uv override that was only needed to bypass compel 2.1.1's <5.0 constraint. NOTE: compel fork pulls notebook dep (full Jupyter stack); flag to maintainer for cleanup. Co-Authored-By: Claude Opus 4.8 <[email protected]> * fix(z_image): resolve rope_theta from rope_parameters for transformers 5.x transformers 5.x no longer exposes rope_theta as a top-level attribute on Qwen3Config; the value is stored in the rope_parameters (and rope_scaling) dict instead. Read it from there with a getattr fallback so the inv_freq buffer is computed from the configured base (1e6 / 256) instead of raising AttributeError. Applies to both the safetensors and GGUF Qwen3 encoder paths. Co-Authored-By: Claude Opus 4.8 <[email protected]> * fix(model_manager): replace removed hf_hub get_token_permission with whoami huggingface_hub 1.x removed get_token_permission(). HFTokenHelper.get_status() now validates the token via whoami(), which returns user info for a valid token and raises HfHubHTTPError for an invalid one. Preserves the original three-way status: VALID on success, INVALID on HfHubHTTPError (e.g. 401), UNKNOWN on any other error (e.g. network failure). Co-Authored-By: Claude Opus 4.8 <[email protected]> * chore(deps): regenerate uv.lock after upstream merge Co-Authored-By: Claude Opus 4.8 <[email protected]> * fix(sd3): resolve merge conflict marker, drop T5TokenizerFast The upstream merge left an unresolved conflict marker in _t5_encode and reintroduced T5TokenizerFast. Keep our v5 assertion (T5Tokenizer only) plus upstream's new t5_device logic, and drop the now-dead T5TokenizerFast monkeypatch in the test (the name no longer exists in the module). Co-Authored-By: Claude Opus 4.8 <[email protected]> * style: ruff fixes on merge-resolved files - flux_text_encoder.py: drop unused typing.Union (F401) left by v5 import merge - huggingface.py: ruff format (wrap append(SimpleNamespace(...))) Co-Authored-By: Claude Opus 4.8 <[email protected]> * chore(deps): pin transformers <5.6 (diffusers single-file CLIP incompat) transformers 5.6 flattened CLIPTextModel (removed the self.text_model wrapper, hoisted embeddings/encoder/final_layer_norm to the top level). diffusers' single-file checkpoint loader (create_diffusers_clip_model_from_ldm) still assumes the nested layout, so loading SD1.5 .safetensors checkpoints fails on 5.6+ with 'CLIPTextModel object has no attribute text_model' and, once that read is shimmed, 'Cannot copy out of meta tensor' (weights never populate the flattened model). Pin to >=5.5,<5.6 (last pre-flattening release) which keeps both the single-file and from_pretrained paths working. The invoke-ai/compel fork accepts any 5.x. Co-Authored-By: Claude Opus 4.8 <[email protected]> * @ chore(deps): replace compel fork with official compel 2.4.0 compel 2.4.0 (released 2026-05-30) merges the transformers-5 support that the invoke-ai fork carried (both descend from upstream PR #129), plus the maintainer-reviewed padding rework and added diffusers/T5 smoke coverage. Switch from the git fork to the PyPI release. - pyproject: compel git+main -> compel>=2.4.0,<3 - uv.lock: compel 2.3.1 (git 8f404b45) -> 2.4.0 (pypi) - transformers stays 5.5.4 (satisfies compel >=5,<6 and our <5.6 pin) Co-Authored-By: Claude Opus 4.8 <[email protected]> @ * chore(uv): update uv.lock --------- Co-authored-by: Your Name <[email protected]> Co-authored-by: 4pointoh <[email protected]> Co-authored-by: Claude Opus 4.8 <[email protected]> Co-authored-by: Alexander Eichhorn <[email protected]> Co-authored-by: Lincoln Stein <[email protected]>