| --- |
| license: creativeml-openrail-m |
| library_name: diffusers |
| tags: |
| - stable-diffusion |
| - sd-1.5 |
| - onnx |
| - text-to-image |
| - cfg |
| - photorealistic |
| base_model: emilianJR/epiCRealism |
| pipeline_tag: text-to-image |
| language: |
| - en |
| --- |
| |
| # epiCRealism (CFG, full quality) — ONNX |
|
|
| ONNX export of [emilianJR/epiCRealism](https://huggingface.co/emilianJR/epiCRealism) (which ships its own VAE). **No distillation LoRA** — this is the full, non-distilled UNet driven with classifier-free guidance. SD 1.5 architecture, 512×512 native, Euler scheduler, CFG ≈ 7.5, **~25 steps**. |
|
|
| This is the quality counterpart to the [4-step Hyper export](https://huggingface.co/Heliosoph/epicrealism-hyper-onnx). The Hyper variant is distilled for fast, CFG-free, 1–4 step sampling; it's great for previews and batch work but caps fidelity and prompt adherence. This non-distilled export, run with classifier-free guidance, a negative prompt, and a normal step budget, recovers the sharp, prompt-faithful output epiCRealism is known for — at a higher per-image cost (the UNet runs twice per step, over ~25 steps). |
|
|
| epiCRealism is a photoreal SD 1.5 fine-tune with broad subject coverage — strongest on environments, landscapes, architecture, interiors, and natural lighting. |
|
|
| Converted artifact. Training credit: emilianJR (epiCRealism). |
|
|
| ## What this repo contains |
|
|
| ``` |
| model_index.json |
| feature_extractor/ |
| scheduler/ |
| text_encoder/ |
| tokenizer/ |
| unet/ # epiCRealism UNet, non-distilled (no LoRA) |
| vae_decoder/ # epiCRealism bundled VAE |
| vae_encoder/ |
| ``` |
|
|
| ## How it was produced |
|
|
| 1. Load `emilianJR/epiCRealism` via `diffusers` (uses its bundled VAE). |
| 2. `optimum-cli export onnx` (no LoRA fusion step). |
|
|
| Exported at FP32 — the SD 1.5 VAE is fp16-fragile (it overflows and posterizes), so the quality export stays full precision. |
|
|
| Toolchain: `optimum 1.24.0`, `diffusers 0.31.0`, `transformers 4.45.2`, `torch 2.4.x` (CUDA 12.4). Conversion script: [`scripts/export-epicrealism-cfg.ps1`](https://github.com/HeliosophLLC/DatumV/blob/main/scripts/export-epicrealism-cfg.ps1). |
|
|
| ## Inference notes |
|
|
| | Setting | Value | |
| |---|---| |
| | Scheduler | Euler | |
| | Steps | 25 (20–30 sweet spot) | |
| | CFG / guidance scale | 7.5 (6–9 usual range) | |
| | Negative prompt | Supported — use it | |
| | Resolution | 512×512 native (best results); 768×768 OK | |
|
|
| Classifier-free guidance runs the UNet twice per step (conditional + unconditional) and combines them as `uncond + guidance · (cond − uncond)`. The negative prompt only takes effect when `guidance > 1`. |
|
|
| ## License |
|
|
| CreativeML OpenRAIL-M (SD 1.5 + epiCRealism). License files included. By using this model you accept those terms. |
