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MD5SUMS

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README.md

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+---
+license: openrail++
+tags:
+- text-to-image
+- stable-diffusion-xl
+- sdxl
+- realvisxl
+- lightning
+- gguf
+- stable-diffusion-cpp
+- tokforge
+base_model:
+- SG161222/RealVisXL_V4.0_Lightning
+pipeline_tag: text-to-image
+---
+
+# TokForge — RealVisXL V4.0 Lightning GGUF (SDXL Quality)
+
+A single self-contained **GGUF** for [`stable-diffusion.cpp`](https://github.com/leejet/stable-diffusion.cpp),
+packaging **[RealVisXL V4.0 Lightning](https://huggingface.co/SG161222/RealVisXL_V4.0_Lightning)**
+(SDXL, photoreal, few-step Lightning). The **UNet is q8_0**, the **VAE is kept at f16**, both
+CLIP text encoders included — everything in one file.
+
+This is the **GPU "Quality" image tier** for the [TokForge](https://tokforge.ai) Android app:
+native **1024px photoreal** SDXL on **certified high-memory Qualcomm/Adreno** devices via the
+OpenCL F16-GEMM route. It is **not** a CPU default — SDXL is too heavy for phone CPU — it is the
+opt-in photoreal step-up above the DreamShaper fast route.
+
+## Files
+
+| File | Size | Precision | Contents |
+|------|------|-----------|----------|
+| `realvisxl-v40-lightning-q8_0.gguf` | ~4.2 GB | q8_0 UNet / f16 VAE | CLIP-L + OpenCLIP-bigG + Lightning UNet + SDXL VAE |
+
+## Recommended render settings (SDXL Lightning, few-step)
+
+```
+sampler:      dpm++2m
+scheduler:    discrete
+steps:        6   (4 = fast floor, 8 = extra refinement)
+cfg-scale:    1.5
+resolution:   1024x1024 (SDXL native)
+backend:      OpenCL on high-memory Adreno (GPU); SDXL CPU is not a supported tier
+```
+
+### stable-diffusion.cpp CLI example
+
+```bash
+sd -M img_gen \
+  -m realvisxl-v40-lightning-q8_0.gguf \
+  -p "close-up portrait, natural skin texture, 85mm, RAW photo, photorealistic" \
+  --sampling-method dpm++2m --steps 6 --cfg-scale 1.5 \
+  -W 1024 -H 1024 -o out.png
+```
+
+## Provenance & how this was built
+
+1. Loaded `SG161222/RealVisXL_V4.0_Lightning` (SDXL diffusers, fp16). Lightning is a baked
+   few-step distilled checkpoint (no LoRA to fuse).
+2. Exported to a single original-format SDXL `.safetensors`.
+3. Converted to GGUF with `stable-diffusion.cpp` (`-M convert --type q8_0`,
+   keeping the VAE at f16 via `--tensor-type-rules '^first_stage_model\.=f16'`).
+
+## License & attribution
+
+- **License:** **openrail++** (inherited from RealVisXL V4.0 Lightning / SDXL).
+- **Base model:** RealVisXL V4.0 Lightning by **SG161222** —
+  https://huggingface.co/SG161222/RealVisXL_V4.0_Lightning
+- Built on top of Stable Diffusion XL (Stability AI).
+
+The original openrail++ terms and attribution requirements propagate to this GGUF and any
+images generated with it.

manifest.json

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+{
+  "name": "TokForge-RealVisXL-Lightning-GGUF",
+  "family": "realvisxl_gguf",
+  "engine": "stable-diffusion.cpp",
+  "base_model": "SG161222/RealVisXL_V4.0_Lightning",
+  "format": "gguf",
+  "precision": "q8_0 (UNet) / f16 (VAE)",
+  "native_resolution": 1024,
+  "default_steps": 6,
+  "sampler": "dpm++2m",
+  "scheduler": "discrete",
+  "cfg_scale": 1.5,
+  "license": "openrail++",
+  "tier": "gpu-opencl-adreno-quality",
+  "files": [
+    {"name": "realvisxl-v40-lightning-q8_0.gguf", "size": 4180204992, "md5": "256e99db69c85401874cacd134ae25c3"}
+  ]
+}

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