It does pictures of rally style Toyota Celica GT-Four ST205 in classic Castrol livery.The trigger trained word <code>toyota_celica_gt-four_1205</code> isn't a typo, 1205 avoids 205 which is a different car in epicRealismV5.The training was made in 1024x768 resolution, so expect to perform better at max 1024 horizontal. 2 types of training: Adafactor and Prodigy. You can try the following orientations, but it lacks consistency<pre><code>toyota_celica_gt-four_1205 car from front
toyota_celica_gt-four_1205 car from front left view
toyota_celica_gt-four_1205 car from front right view
toyota_celica_gt-four_1205 car from left rear view
toyota_celica_gt-four_1205 car from left side view
toyota_celica_gt-four_1205 car from rear
toyota_celica_gt-four_1205 car from right rear view
toyota_celica_gt-four_1205 car from right side top view
toyota_celica_gt-four_1205 car from right side view
toyota_celica_gt-four_1205 car three-quarter left front view
toyota_celica_gt-four_1205 car three-quarter left rear view
toyota_celica_gt-four_1205 car three-quarter right front view
toyota_celica_gt-four_1205 car three-quarter right rear view</code></pre>Workflow: <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/685abf46-7136-4f87-a0fe-3d0a79485a52/original=true/685abf46-7136-4f87-a0fe-3d0a79485a52.jpeg" /><hr />Old V1: A lora aimed to understand the classic castrol rally painting scheme used in rally, Trained on civitai using "Concept" option.List of possible text that I would like to work on any surface to be painted as if its main inspiration is the same scheme from this rally car.<ul><li>Castrol paint scheme</li><li>Castrol themed liveries</li><li>Castrol sponsor</li><li>Castrol Rally scheme</li><li>classic Castrol Rally Scheme</li><li>Castrol Racing Design</li><li>Castrol Motorsport Livery</li><li>Castrol Branding</li><li>Castrol Racing Colors</li><li>Castrol Racing Graphics</li><li>Castrol Racing Aesthetic</li></ul>

Castrol Car Paint

Epoch 3 of 3Files: 113Steps: 4.011Model: epicRealism v5epicReal5{ "lr": 1, "engine": "ai-toolkit", "epochs": 3, "ecosystem": "sd1", "keepTokens": 0, "networkDim": 32, "numRepeats": 71, "resolution": 1024, "lrScheduler": "cosine", "minSnrGamma": 5, "noiseOffset": 0.1, "networkAlpha": 32, "optimizerType": "prodigy", "shuffleTokens": false, "textEncoderLr": 1, "flipAugmentation": false, "trainTextEncoder": true}

Files with SHA256: 3e5771f3a41f346a8dea1cd0f9d090241e9e8f9e009ea2f65833730be9d9b4cf