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1 | | -* 2026-02-16: v0.9.4 - Aspect Ratio & CLI Robustness (Hannibal) |
2 | | - * Fixed a critical bug where the default Aspect Ratio User Valve was overriding custom Size settings. |
3 | | - * Implemented typographic dash normalization in the Prompt Parser to support mobile/iOS auto-corrections. |
4 | | - * Updated documentation with detailed configuration hierarchy and parameter behavior. |
| 1 | +* 2026-02-16: v0.9.3 - Aspect Ratio, CLI Robustness & Privacy Documentation (Hannibal) |
5 | 2 |
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6 | | -* 2026-02-16: v0.9.3 - Documentation & UX Clarity (Hannibal) |
7 | | - * Updated README.md to clarify the configuration hierarchy between CLI, User Valves, Admin Valves, and Global OWUI Settings. |
8 | | - * Refined explanation of the "Size" parameter location to prevent user confusion. |
| 3 | + * Fixed a critical bug where the default Aspect Ratio User Valve was overriding custom Size settings. |
| 4 | + * Implemented typographic dash normalization in the Prompt Parser to support mobile/iOS auto-corrections (converting — and – back to standard --). |
| 5 | + * Added a dedicated "Privacy & Local Execution" section to the README explaining how to use `easy_cloud_mode` for local-only setups (LM Studio/Local Forge). |
| 6 | + * Updated documentation with a detailed configuration hierarchy and parameter behavior. |
| 7 | + * Refined the "Size" parameter location explanation to guide users to the Chat Controls menu. |
9 | 8 |
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10 | 9 | * 2026-02-15: v0.9.2-beta.2 - Multilingual Prompt Enhancer & Vision QC (Hannibal) |
| 10 | + |
11 | 11 | * Subcommand Architecture: Unified workflow with `img:p` (Prompt Only), `img:r` (Entropy Randomizer), and `img ?` (Interactive Help). |
12 | | - * Entropy Engine 2.0: Replaced LLM-based randomizer with a deterministic Python-side "Double Dice" system (20 Categories + 10 Moods) to enforce physical grounding and stylistic diversity. |
13 | | - * Direct Dispatch Core: Implemented a global persistent HTTP client for zero-latency connection pooling and direct backend execution (bypassing OWUI chat overhead). |
14 | | - * Smart VRAM Management: Added automatic model unloading and an "Extreme Cleanup" valve to prevent OOM errors on local backends. |
| 12 | + * Entropy Engine 2.0: Replaced LLM-based randomizer with a deterministic Python-side "Double Dice" system (20 Categories + 10 Moods). |
| 13 | + * Direct Dispatch Core: Implemented a global persistent HTTP client for zero-latency connection pooling. |
| 14 | + * Smart VRAM Management: Added automatic model unloading and an "Extreme Cleanup" valve. |
15 | 15 | * Forge Power-Ups: Exposed granular High-Res Fix controls via CLI (`hr`, `hru`, `dns`, `hdcs`). |
16 | | - * Error Intelligence: Now extracts and displays raw API error messages (e.g., OpenAI Safety Violations) directly in the chat. |
17 | | - * Fixes: Resolved OpenAI size snapping (Error 400), Global Config retrieval for `PersistentConfig` objects, and unified Forge/A1111 terminology. |
| 16 | + * Error Intelligence: Extracts and displays raw API error messages (e.g., OpenAI Safety Violations). |
| 17 | + * Technical Fixes: Resolved OpenAI size snapping, Global Config retrieval for PersistentConfig, and Forge terminology. |
18 | 18 |
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19 | 19 | * 2026-02-10: v0.8.1 - Intelligent Router Refactor (Hannibal) |
| 20 | + |
20 | 21 | * Intelligent Router: Implemented a dispatcher with dedicated methods for each engine. |
21 | 22 | * Native OpenAI & Gemini: Added direct HTTPX support for OpenAI and Gemini with full parameter mapping. |
22 | | - * Advanced Mapping: Implemented logic for `style`/`quality` (OpenAI) and `seed`/`watermark` (Gemini). |
23 | 23 | * UI Cleanup: Improved code block formatting in chat messages. |
24 | 24 |
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25 | 25 | * 2026-02-08: v0.7.5 - SoC Refactor & Inference Optimization (Hannibal) |
| 26 | + |
26 | 27 | * SoC Refactor: Restructured the code into specialized classes (`InferenceEngine`, `PromptParser`, etc.). |
27 | 28 | * Optimized Inference: Generalized the `_infer` method to handle text and vision calls agnostically. |
28 | | - * Local Performance Boost: Optimized the flow to skip the vision probe when using `imgx`. |
29 | 29 |
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30 | 30 | * 2026-01-27: v0.6.3 - Modular Architecture & Vision Audit (Hannibal) |
| 31 | + |
31 | 32 | * Modular Architecture: Complete refactor to a method-based class structure for better maintainability. |
32 | | - * Precise Metrics: Replaced heuristic token estimation with exact data from Open WebUI API responses. |
33 | 33 | * Vision Cache Persistence: Introduced `persistent_vision_cache` to store model capabilities locally. |
34 | | - * Audit Optimization: Refined Vision Audit prompts for objective scoring and artifact detection. |
35 | 34 |
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36 | 35 | * 2026-01-25: v0.5.1 - Multimodal Validation & Debugging (Hannibal) |
| 36 | + |
37 | 37 | * Multimodal Validation: Implemented base64 reference image probing to verify vision capabilities. |
38 | 38 | * Debug Mode: Added a toggle for detailed console logging. |
39 | 39 |
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40 | 40 | * 2026-01-23: v0.4.83 - Initial Vision Audit Integration (Hannibal) |
41 | | - * Vision Audit System: Initial integration of real-time image analysis. |
42 | | - * Unicode UI: Optimized technical details for environments with restricted Markdown. |
| 41 | + |
| 42 | + * Vision Audit System: Initial integration of real-time image analysis. |
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