Model trained with 100 images ( 50 + 50 fliped ) using the Seek Art Mega model as a base model before training and later used to "fix" the damage caused by dreamboothing through multiple merges: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1315/seekart-mega">https://civarchive.com/models/1315/seekart-mega</a> Workflow and more samples with according tested artists: <a target="_blank" rel="ugc" href="https://www.artstation.com/artwork/2qPoAx">https://www.artstation.com/artwork/2qPoAx</a><ul><li>Trained with some empty backgrounds with different solid colors to easily produce removable backgrounds;</li><li>Stacked training with stacked merges using the base model to avoid loss of other artstyles;</li><li>Most of the trained images contains tattoos, jewelry, stamps, and detailed equipment of scifi fantasy fashion;</li><li>Trained with micro crops of large compositions and according original compositions to easyly insert the characters within scenarios;</li></ul>

CCDHT - Concept Character Designer - Oriental

The raw file already merged with <a target="_blank" rel="ugc" href="https://civitai.com/models/4398/protogen-infinity-official-release">Protogen</a> ( just for ease of use if you don't know how to merge models ), then, after that, another dreambooth training session to restore the lost artstyle.<ul><li>Inherited a bias towards anime style or comic book stylization, looks like an entire model trained on WLOP or Stanley Lau Artgerm;</li><li>Inherited triggering keywords from Protogen model;</li><li>Pretty resilient to incoherent anatomy features;</li><li>Pretty resilient to motifs/ tiling before reaching 864x864;</li></ul>

ccdhtConceptCharacter_ccdhtArtstyleV0.safetensors

CCDHT_artstyle_V0_Protogen

CCDHT_Artstyle_V0_SPYBG

CCDHT_artstyle_V0_SeekArtMega

CCDHT_Artstyle_V0_Raw

Last dreambooth model after 3 stacked dreambooth trainings with the least one left without fix to allow other users to merge with their own models or insert into a new dreamboothing session as initial base model

Files with SHA256: 7cd8aed83897e635f2d84faaeae1612b8a0e318def95ee350f535f1a47b05c9e