SOL-ILv1 🗡️
Checkpoint Merge • SDXL 1.0 Architecture
SOL-ILv1 is a full SDXL 1.0 checkpoint merge combining the illustrative power of Illustrious v2.0 with the versatile foundation of SmoothMix Ultimate. Designed for artists who need sharp, detailed illustrations with stable composition and strong color rendering.
✦ Details
| Property | Value |
|---------------|------------------------------------------------------------------------|
| Architecture | SDXL 1.0 (UNet 9+1+9) |
| Parameters | 3.47B total |
| Precision | FP16 (UNet + Text Encoders) / FP32 (VAE) |
| File Size | ~7.1 GB |
| Text Encoders | CLIP-ViT/L-14 (embedder.0) + OpenCLIP-ViT/bigG (embedder.1) — included |
| VAE | SDXL 4-channel (included, FP32) |
| Merge Method | Weighted Sum |
✦ Merge Recipe
- Base: stabilityai/stable-diffusion-xl-base-1.0
- Blend A: SmoothMix Ultimate
- Blend B: Illustrious v2.0
- Method: Weighted sum merge
✦ Usage
Load directly as a full checkpoint in:
- ComfyUI: CheckpointLoaderSimple → select SOL-ILv1.safetensors
- AUTOMATIC1111: Place in models/Stable-diffusion/, select from dropdown
- Forge: Same as A1111
No need for separate CLIP or VAE — everything is embedded in the checkpoint.
Recommended Settings
- Resolution: 1024×1024, 832×1216, 1216×832
- Sampler: DPM++ 2M Karras / Euler a
- Steps: 25–35
- CFG: 5–8
- VAE: Built-in (no external VAE needed)
⚠️ Known Issue
Layer 11 of CLIP-ViT/L-14 (conditioner.embedders.0.transformer.text_model.encoder.layers.11) contains NaN values — inherited from the original merge. This affects 0.2% of total parameters and does not impact generation quality in practice, as SDXL uses 12 CLIP layers and failure in one sublayer is compensated by the rest of the encoder.
✦ License
Brier Studios — All Rights Reserved
This model is provided for personal, non-commercial use. Redistribution, resale, or commercial deployment requires written permission from Brier Studios. Merged models must respect the licenses of all original base models.
Brought to you by Brier Studios — Dark Fantasy × AI
Description
FAQ
Comments (2)
When trying this model in ComfyUI, I get the following error:
ValueError: buffer length (3276777 bytes) after offset (0 bytes) must be a multiple of element size (2)
The downloaded file has the same hash as CivitAI, so nothing went wrong during the download. Can you check the file yourself to see if it maybe broke during the upload?
FIXED