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| license: apache-2.0 | |
| pipeline_tag: image-to-text | |
| library_name: comfyui | |
| base_model: | |
| - pixai-labs/pixai-tagger-v1.0 | |
| - saidutta69/MiniCPM-V-4.7-1B-heretic | |
| tags: | |
| - comfyui | |
| - safetensors | |
| - image-captioning | |
| - image-tagging | |
| - int8 | |
| - convrot | |
| # Anima Prompt Architect models | |
| Two self-contained safetensors models for | |
| [ComfyUI-Anima-Prompt-Architect](https://github.com/NidAll/ComfyUI-Anima-Prompt-Architect). | |
| | File | Precision | Bytes | | |
| |---|---|---:| | |
| | [pixai-tagger-v1.0-bf16.safetensors](pixai-tagger-v1.0-bf16.safetensors) | BF16 | 972,940,675 | | |
| | [minicpm-v4.7-1b-heretic-int8-convrot.safetensors](minicpm-v4.7-1b-heretic-int8-convrot.safetensors) | INT8 ConvRot + BF16 | 2,656,884,950 | | |
| ## Installation | |
| Install the custom node, then place both model files directly under | |
| `ComfyUI/models/anima_prompt_architect/` and restart ComfyUI. Select them in | |
| **Anima Prompt Architect**. Each artifact embeds its required configuration, | |
| preprocessing and vocabulary/tokenizer data. No sidecars, separate vision | |
| projector, remote executable code or automatic model downloads are needed. | |
| These are custom-node safetensors artifacts. Generic Transformers `from_pretrained` | |
| and stock ComfyUI diffusion/text-encoder loaders are not their consumers. | |
| ## Precision and validation | |
| PixAI v1.0: all 398 model tensors equal original values rounded to BF16. The | |
| loader requires BF16 floating model weights; inference uses BF16 and sigmoid FP32. | |
| Original 1008px aspect-preserving preprocessing is retained. | |
| MiniCPM-V 4.7 1B Heretic: 137 native INT8 ConvRot matrices and 643 unchanged BF16 | |
| model tensors. Vision, merger, embeddings/head, boundary blocks, norms and sensitive | |
| recurrent controls remain BF16. FP32 row scales are quantization metadata. | |
| Native ComfyUI operations and Kitchen kernels execute the packed integer weights. | |
| A complete generation succeeded with INT8 weight dequantization forbidden. | |
| Packaging preserves every weight tensor exactly and verifies embedded-asset | |
| integrity. The node has been exercised through the ComfyUI API. Precision changes | |
| can alter descriptions; neither hallucination-free output nor universal INT8 | |
| speedup is guaranteed. Character recognition, multi-character binding, OCR and | |
| Anima reconstruction quality have not received a broad labeled evaluation. | |
| ## Sources and license | |
| - [PixAI Tagger v1.0](https://huggingface.co/pixai-labs/pixai-tagger-v1.0), revision | |
| `9fe10addf9326e292da8a85a98ea74cd91b41771`, by PixAI Labs, Apache-2.0. | |
| - [MiniCPM-V 4.7 1B Heretic](https://huggingface.co/saidutta69/MiniCPM-V-4.7-1B-heretic), revision | |
| `f2ec4781396394599a524bd396133ed117b38da1`, derived from OpenBMB MiniCPM-V 4.7 1B, | |
| Apache-2.0. The Heretic derivative modifies the original model's refusal behavior. | |
| - Conversion uses [ComfyUI Native Quantizer](https://github.com/NidAll/comfyui-native-quantizer). | |
| The custom node includes the conservative conversion recipe and reproduction scripts. | |
| Both converted models retain Apache-2.0 licensing. See [LICENSE](LICENSE), | |
| [checksums](SHA256SUMS), and the source repositories for original attribution. | |
| Anima weights are not bundled and retain their own licensing terms. | |