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README.md
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---
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license: other
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license_name: mixed-base-model-licenses
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language: en
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tags:
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- text-to-image
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- flux
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- pony
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- lora
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- stable-diffusion
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- style
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- witch
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- queen
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- dark-fantasy
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- magic
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library_name: diffusers
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base_model:
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- black-forest-labs/FLUX.1-dev
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---
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# Witch Queen — Dark Fantasy Style [Flux / Pony]
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In a world shrouded in mystery and magic, the Witch Queen reigns supreme.
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**Witch Queen** is a style/concept LoRA that generates dark fantasy witch queen imagery — antlered crowns, glowing green magic, ravens, moonlit thrones, and ancient forests. The aesthetic is consistently moody and atmospheric: deep greens, supernatural light, billowing robes, and an air of terrible beauty.
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The Witch Queen commands storms from stone towers, reads forbidden tomes in candlelit libraries, and holds court in moss-covered thrones surrounded by corvids and emerald flame.
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## Gallery
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|---|---|---|
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|  |  |  |
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## Available Versions
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| File | Base Model | Size | License |
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|------|-----------|------|---------|
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| `witch-queen-v01-flux.safetensors` | Flux.1 Dev | 76 MB | [FLUX.1 Dev Non-Commercial](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) |
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| `witch-queen-v01-pony.safetensors` | Pony | 41 MB | [CreativeML OpenRAIL-M](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md) |
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## Usage
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- **No trigger word needed** — the witch queen aesthetic applies automatically
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- **Recommended strength:** 0.7–1.0
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### Tips
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- **Thrones and ritual spaces** are the signature subjects
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- **Green magic and antlers** are core to the aesthetic — the model generates them naturally
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- **Ravens and corvids** appear frequently as companions
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- **Storm and moonlit environments** produce the most atmospheric results
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## Links
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- [Civitai](https://civitai.com/models/1194024)
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- [All Models](https://thalis.dev/models/)
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## About
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Created by [Thalis AI](https://thalis.dev).
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## License
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Each LoRA variant inherits the license of its respective base model. See the table above for details.
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