Update README.md

README.md

@@ -1,3 +1,60 @@
 ---
 license: creativeml-openrail-m
+library_name: diffusers
+tags:
+- stable-diffusion
+- sd-1.5
+- hyper-sd
+- onnx
+- text-to-image
+- 4-step
+- disney-style
+base_model: nitrosocke/mo-di-diffusion
+pipeline_tag: text-to-image
+language:
+- en
 ---
+
+# Mo-Di Diffusion + Hyper-SD (4-step) — ONNX
+
+ONNX export of [nitrosocke/mo-di-diffusion](https://huggingface.co/nitrosocke/mo-di-diffusion) with the [ByteDance/Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD) 4-step LoRA fused into the UNet. SD 1.5 architecture, 512×512 native, Euler scheduler, CFG = 1, **4 steps**.
+
+Mo-Di is nitrosocke's "modern Disney style" fine-tune — produces character art with the late-2010s Disney/Pixar look. Activator phrase commonly used upstream: `modern disney style`. Worth including in prompts for stronger style adherence.
+
+Converted artifact. Training credit: nitrosocke (Mo-Di), ByteDance (Hyper-SD).
+
+## What this repo contains
+
+```
+model_index.json
+feature_extractor/
+scheduler/
+text_encoder/
+tokenizer/
+unet/                   # Mo-Di UNet + Hyper-SD-15 4-step LoRA fused in
+vae_decoder/
+vae_encoder/
+```
+
+## How it was produced
+
+1. Load `nitrosocke/mo-di-diffusion` via `diffusers`.
+2. Fuse `ByteDance/Hyper-SD/Hyper-SD15-4steps-lora.safetensors`.
+3. `optimum-cli export onnx`.
+
+Toolchain: `optimum 1.24.0`, `diffusers 0.31.0`, `transformers 4.45.2`, `torch 2.4.x` (CUDA 12.4). Conversion script: [`scripts/export-mo-di-hyper.ps1`](https://github.com/HeliosophLLC/DatumIngest/blob/main/scripts/export-mo-di-hyper.ps1).
+
+## Inference notes
+
+| Setting | Value |
+|---|---|
+| Scheduler | Euler |
+| Steps | 4 |
+| CFG / guidance scale | 1.0 |
+| Negative prompt | Skip |
+| Resolution | 512×512 native |
+| Activator | Include `modern disney style` in prompts for stronger adherence |
+
+## License
+
+CreativeML OpenRAIL-M (SD 1.5 + Mo-Di + Hyper-SD). License files included. By using this model you accept those terms.