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---
license: creativeml-openrail-m
base_model:
- muverqqw/DreamCoil-V0.1
- Polenov2024/Pony-Diffusion-V6-XL
tags:
- stable-diffusion-xl
- text-to-image
- pony
- dreamcoil
inference: true
---
<div align="center">
<svg viewBox="0 0 800 150" xmlns="http://www.w3.org/2000/svg">
<defs>
<linearGradient id="ponyGradient" x1="0%" y1="0%" x2="100%" y2="0%">
<stop offset="0%" style="stop-color:#FF79C6;" /> <stop offset="100%" style="stop-color:#E100FF;" /> </linearGradient>
</defs>
<text
x="50%"
y="50%"
dominant-baseline="middle"
text-anchor="middle"
font-family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol'"
font-size="80"
font-weight="bold"
fill="url(#ponyGradient)">
DreamCoil-PonyXL
</text>
</svg>
</div>
## ✨ DreamCoil-PonyXL
Welcome to the official model card for **DreamCoil-PonyXL**! This model is a merge of [Pony Diffusion V6 XL](https://huggingface.co/Polenov2024/Pony-Diffusion-V6-XL) and [DreamCoil-v0.1](https://huggingface.co/muverqqw/DreamCoil-V0.1), **designed to create beautiful, highly detailed fantasy and anime-style illustrations. It excels at generating atmospheric scenes, particularly with female characters.**
This model combines the power of the SDXL architecture with a specialized dataset to **achieve vibrant color palettes (especially purples and pinks), intricate details in hair and clothing, and beautiful night-sky compositions.**
### 🚀 Model Features
* **High-Resolution Output:** Generates stunning 1024x1024 images.
* **Superior Aesthetics:** **Specialized in fantasy/anime characters, glowing effects, atmospheric night scenes, and full-moon backgrounds.**
* **Pony V6 Base:** Inherits the strong compositional and prompt understanding of the PonyXL base model.
---
## 💻 Usage
This model can be easily used in `diffusers` library.
```python
from diffusers import StableDiffusionXLPipeline
import torch
ckpt_path = "https://huggingface.co/EngineerGL/DreamCoil-PonyXL/blob/main/DreamCoil-PonyXl.safetensors"
pipeline = StableDiffusionXLPipeline.from_single_file(
ckpt_path,
torch_dtype=torch.float16,
use_safetensors=True
)
pipeline.to("cuda")
prompt = "score_9, score_8_up, score_7_up,source_anime, {YOUR_PROMPT_HERE}"
negative_prompt = "worst quality,bad quality,jpeg artifacts, source_cartoon, 3d, (censor),monochrome,blurry, lowres,watermark, {YOUR_PROMPT_HERE}"
image = pipeline(
prompt=prompt,
negative_prompt=negative_prompt,
width=1024,
height=1024,
num_inference_steps=30,
guidance_scale=7
).images[0]
image.save("dreamcoil_output.png")
```
## 💡 Tips for Best Results
Recommended Sampler: DPM++ 2M Karras or Euler a.
Resolution: Best results at 1024x1024 or similar aspect ratios (e.g., 896x1152, 1152x896).
Trigger Words: [Positive prompt: score_9, score_8_up, score_7_up,source_anime, Negative prompt: worst quality,bad quality,jpeg artifacts, source_cartoon,
3d, (censor),monochrome,blurry, lowres,watermark,].
## 👥 Authors & Credits
* **Lead Developer:** [**IceL1ghtning**]
* **Contributors:** [**katysha_mikhaylets, posledniy_tadjik**]
* **Creation Date:** [**November 2025**] |