---
license: creativeml-openrail-m
base_model: Lykon/dreamshaper-8-lcm
tags:
  - text-to-image
  - stable-diffusion
  - lcm
  - gguf
  - on-device
  - android
library_name: stable-diffusion.cpp
pipeline_tag: text-to-image
---

# VoRA Create: on-device image models (GGUF, q8_0)

The image models behind **VoRA Create** in the VoRA Lite Android app. The app downloads one model once; after that every image is made on the phone, offline, and nothing is uploaded.

## Files

| File | Size | SHA-256 | Used by the app |
|---|---|---|---|
| `vora-create-dreamshaper8-lcm-q8_0.gguf` | 1,802,206,336 bytes | `dd06826d1eca711efa38190395a5ee949d0427fc6422c39433358a815e5b066c` | ✅ current |
| `taesd.safetensors` | 9,793,292 bytes | `db169d69145ec4ff064e49d99c95fa05d3eb04ee453de35824a6d0f325513549` | ✅ current |
| `vora-create-sd15-lcm-q8_0.gguf` | 1,882,693,648 bytes | `02318ce065eed92ac83e363978f5bead0150b1d3d767744d2c2e07ff564030b9` | first version, superseded |

## How they were made

**DreamShaper 8 LCM (current).** [Lykon/dreamshaper-8-lcm](https://huggingface.co/Lykon/dreamshaper-8-lcm) `DreamShaper8_LCM.safetensors`, a Stable Diffusion 1.5 fine-tune with LCM distillation built in. It's converted to f16 GGUF, then the linear weights are quantized to q8_0; 3×3 conv weights stay f16. It makes much better people, faces and scenes than base SD 1.5, at the same speed.

**SD 1.5 + LCM (first version).** [stable-diffusion-v1-5](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5) with [latent-consistency/lcm-lora-sdv1-5](https://huggingface.co/latent-consistency/lcm-lora-sdv1-5) merged in at strength 1.0, quantized the same way.

Conversion used [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) (`sd-cli -M convert`).

`taesd.safetensors` is [madebyollin/taesd](https://huggingface.co/madebyollin/taesd) (MIT), a tiny VAE decoder for fast decoding on phones.

## Recommended settings

LCM sampler, 4 steps, CFG 1.0, 512×512 (384×384 for speed).

```
sd-cli -m vora-create-dreamshaper8-lcm-q8_0.gguf --taesd taesd.safetensors \
  -p "a woman in a red dress walking with a cat on a London street, photo" \
  --sampling-method lcm --steps 4 --cfg-scale 1 -W 512 -H 512 --diffusion-fa -t 4
```

## License

Both models are released under the **CreativeML Open RAIL-M** license (see `LICENSE.txt`), inherited from Stable Diffusion v1.5 and DreamShaper 8. The use-based restrictions in Attachment A apply to everyone who uses these models or apps built on them. DreamShaper is by Lykon. The LCM-LoRA weights are under OpenRAIL++ and TAESD is under MIT.