good quality

lora strength 0.6-1.Trigger keywords are wanostyle (mandatory) and monkey d luffy for Luffy or roronoa zoro for Zoro. May also get nami and nico robin without embeddings. Luffy prompts reference:1boy, wanostyle, monkey d luffy, smiling, straw hat, looking at viewer, solo, upper body, ((masterpiece)), (best quality), (extremely detailed), depth of field, sketch, dark intense shadows, sharp focus, soft lighting, hdr, colorful, good composition, fire all around, spectacular, closed shirt, anime screencap, scar under eye, ready to fight, black eyes Zoro prompt word reference: 1boy, wanostyle, roronoa zoro, angry looking, katana, (one eye closed), scar across eye, solo, upper body, (((masterpiece))), ((best quality)), (extremely detailed), watercolor, illustration, depth of field, sketch, dark intense shadows, sharp focus, soft lighting, hdr, colorful, good composition, purple fire all around, spectacular, green hair, Nami prompt word reference: 1girl, wanostyle, nami_1800, (masterpiece), (best quality), solo, female focus, extremely detailed, illustration, kimono, traditional clothing, depth of field, sketch, dark intense shadows, sharp focus, soft lighting, colorful, good composition, solo, indoors,

What this workflow does a workflow for creating an image with a depth perspective effect using IPAdapters. This image can be animated using Stable Video Diffusion to produce a ping pong video with a 3D or volumetric appearance. All of this in the same workflow. How to use this workflow You will need to use a mask image with three stacked layers, green blue and red (check examples). Then you can use three input image to be adapted in these three regions. This is used to create the composition, specifically the foreground and the central part. It's important to create an image with a convincing depth perspective, as the quality of the final video depends on it. Tips about this workflow Before running the full workflow, bypass the Ksampler node in the Video group, so that you can check if the image to animate looks good first. Also, you might need to find the right motion_bucket_id and seed to generate the proper camera pan, it might change depending on the depth of the input image. You can download an example mask and input images in the workflow-inputs.zip: https://civitai.com/articles/3235/a-workflow-for-depthparallax-images-and-videos-using-ipadapters-and-stable-video-diffusion

What this workflow does This workflow simply loads a model allows you to enter positive negative prompt allows you to adjust basic configurations like seeds, steps etc and generates an image. How to use this workflow Use this workflow only if you are sure the base checkpoint embeds a good quality VAE, otherwise check out another this workflow with VAE - https://openart.ai/workflows/openart/basic-sd15-workflow-with-vae/XlPv7Qz9U3wOIDn5vSxM.