| --- |
| 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. |
