side 2024
<Gallery />
Model description
<h3 id="updated-xl-version-here-0d7p0lxlx">UPDATED XL VERSION HERE</h3><h3 id="https:civitai.commodels565058side-xlmodelversionid629739-xc0fdonvr"><a target="_blank" rel="ugc" href="https://civitai.com/models/565058/side-xl?modelVersionId=629739">https://civitai.com/models/565058/side-xl?modelVersionId=629739</a></h3><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div><p>This model is trained on a similar date. Is it to the original <a target="_blank" rel="ugc" href="https://civitai.com/models/84286?modelVersionId=225962">1.5 version checkpoint models</a></p><p>Per quest here is an updated LoRa version using an updated data set as well. This model is geared towards those interested in creating <strong>side profile views of characters</strong>. When I first started my art journey it was probably one of the easiest ways to begin drawing and learning how to draw from the side.</p><p></p><h3 id="the-intent-for-this-model-is-to-make-side-profile-images!!-again-i-have-to-emphasize-this-because-that's-what-it's-meant-for-and-there-seem-to-be-confusing-in-the-first-version-lol.-dhdyn5edy">the intent for this model is to make side profile images!! again I have to emphasize this because that's what it's meant for and there seem to be confusing in the first version lol.</h3><p></p><p>Hope you enjoy, and I look forward to seeing your creations in your attorney</p>
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/side-2024', weight_name='side_2024.safetensors')
image = pipeline('Your custom prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers