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unclebane/UBIG-Zero

AI model by unclebane

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WHAT DOES ZERO EDITION MEANS HERE!!??? It means this is a raw base model with virtually not predifined style to it, you need to bring your own data and train (full finetune) it to what you want it to look like and/or behave. So you aren't generating any Annie Mays here with this base model, only Sleep Paralysis Demons and Nightmare Fuel: So just to drill home once again before the nerd speak starts, this model: A modified, depth-expanded fork of NVIDIA's Cosmos-Predict2-2B-Text2Image rebuilt for low-VRAM consumer GPUs (tested on 8GB VRAM targets such as the RTX 3070). This model replaces the monolithic legacy T5-XXL text encoder with a newer lightweight hybrid Qwen 3.5 0.8B backbone (Linear SSM / GatedDeltaNet + Gated Self-Attention) and expands the core Diffusion Transformer (DiT) from 28 layers to 40 layers using progressive depth surgery. To scale semantic capacity…

unclebane/UBIG-Zero on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T03:19:55.670Z

Inside the original model card — Document outline
  1. Uncle Bane Image Generator 2B Zero Edition (UBIG-2B-Zero)
  2. Technical Specifications
  3. Architectural Breakdown
  4. 1. Depth Expansion (28 → 40 Layers)
  5. 2. Hybrid Text Encoder: Qwen 3.5 0.8B
  6. 3. Semantic Bridge (6-Block Adapter)
  7. File Structure
  8. Training Details
  9. Optimizer: AdamW 8-bit (bitsandbytes)
  10. Limitations & Best Practices
  11. Licenses

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Model overview

unclebane/UBIG-Zero is a task-unspecified model repository published by unclebane on Hugging Face. A library was not reported.

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License
mit
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Created
2026-10-19T06:21:11.000Z
Last modified
2026-10-19T06:21:12.000Z

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Source: Hugging Face Hub. Metadata observed 2026-10-19T06:43:13.200Z. Daily imports are snapshots, not real-time monitoring.

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