<h2 id="my-first-lora-maybe-with-some-aberration....-please-try-it-and-let-me-know-comments-and-opinions-are-welcome-and-i-am-grateful!!!my-first-lora-created-a-couple-of-months-ago-.-this-model-mimics-the-look-and-style-of-the-old-80's-advertisements-that-were-usually-found-in-magazines-and-newspapers.this-model-was-trained-with-many-images-containing-text-so-i-recommend-not-using-the-lora-over-0.8-strength-so-as-to-generate-as-little-altered-text-as-possible.-8cctdjx4j"><span style="color:#fd7e14">MY FIRST LORA, MAYBE WITH SOME ABERRATION.... PLEASE TRY IT AND LET ME KNOW , COMMENTS AND OPINIONS ARE WELCOME AND I AM GRATEFUL!!!</span><br />My first LoRA created a couple of months ago . This model mimics the look and style of the old 80's advertisements that were usually found in magazines and newspapers.<br />This model was trained with many images containing text so I recommend not using the Lora over 0.8 strength so as to generate as little altered text as possible.</h2>

80s commercial print

80scomprint_15.safetensors

Z IMAGE BASE

Z IMAGE TURBO

v2.0

v1.0

### You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.
#### 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/80scomprint')
```
Download with Git clone
```
git clone https://www.modelscope.ai/ROLENZIO/80scomprint.git
```

<p style="color: lightgrey;">If you are a contributor to this model, we invite you to promptly update the model card content according to <a href="https://www.modelscope.ai/docs/contribute/model-integration" style="color: lightgrey; text-decoration: underline;">the model contribution documentation</a>.</p>



80scomprint

ckpt-15

ckpt-5

ckpt-10

Files with SHA256: 8b6e999c9df5689f46c283163a854dafe8dcd5f4ef0689f3a560bee40aa59a50