<div data-type="blurb" data-id="194"><h3>🧠 Dreamy..</h3>LoRA Name: MODEL Base Model: KREA 2 Type: Style LoRA / Temporal aesthetic replication Focus: 80S<h3>⚙️ Recommended Parameters (ComfyUI)</h3>For best results, use the following setup:<ul><li>Steps: <code>12</code></li><li>Sampler: <code>Euler</code></li><li>Prompt Format: <code>simple</code> (Avoid overly detailed prompt logic; keep it clean and direct)</li></ul>Recommended settings:<ul><li>LoRA weight: <code>1</code> to <code>1.2</code></li><li>Aspect Ratio: <code>4:3 or 2:3</code> preferred</li></ul>Suggested terms for prompt: dreamy atmosphere, the subject and setting you want to recreate and a description of the font. The fonts are generated quite well, so let your imagination run wild! DESCRIZIONE I'll be releasing this model in early access for a few days, after which it will be available for free download to everyone. I invite you to test it out, and if you'd like, you can share your results below. Suggestions and feedback are also welcome! If you'd like to help me, you can also sign up for RunPod using my affiliate link. I'll receive a bonus, and so will you, for every new sign-up. <a target="_blank" rel="ugc" href="https://runpod.io/?ref=72iobbrk">MY RUNPOD LINK</a><h2>Please only post images related to LORA on this page and not irrelevant subjects.</h2><h2>This will also help other users appreciate the template. Let me know what you think in a comment!</h2></div>

DREAMY

To activate this style, use any description related to dreams or take inspiration from the image prompts I've posted in the gallery

Dreamy_c1-st5000.safetensors

v1.0

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#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('ROLENZIO/Dreamy')
```
Download with Git clone
```
git clone https://www.modelscope.ai/ROLENZIO/Dreamy.git
```

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Files with SHA256: 7ece753fecede598518cf9ef394ac23fc879c38c867dfe83ac5ad900eee14f07