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    Trained on images of artists whose artwork I find aesthetically pleasing. Example images have very minimal editing/cleanup.

    If you like my work (models/videos/etc.), feel free to contribute here:

    Discord channel: https://discord.gg/ZKX3Zym8FQ

    Tips/Donations: https://streamlabs.com/kasukanra/tip

    Reproducibility

    If you want to reproduce the images below, I've prepared a more detailed version of the prompt settings and seed values in these pastebin(s):

    v2-0: soonTM

    v1-8: https://pastebin.com/EAf3GLpv

    v1-6: https://pastebin.com/c7zphaN1

    v1-5: https://pastebin.com/Nqz6vNFN

    v1-3: https://pastebin.com/xs8mmybZ

    v1-1: https://pastebin.com/2XrkSMfV

    If you want to use this with the graphic illustration LoRA I created here: https://civarchive.com/models/11477/graphic-illustration-style, make sure to add the prompt "in the style of <lora:graphic_illust_12:0.4>". Tune the strength of the LoRA to what you think is appropriate, but don't use 1. It will blow out the image.

    Stable Diffusion Workflow Videos

    Comfy Org Meetup in Tokyo, Japan

    FLUX.1 [dev]: Training LoRA with SimpleTuner and AI-Toolkit

    SD3 2B Medium Training

    Paints-UNDO | Create a timelapse for any 2D image

    Stable Diffusion 3 Early Preview

    High-resolution advanced inpainting with ComfyUI (SDXL, IP-Adapter, rgthree)

    Improving Stable Diffusion images with FreeU (SDXL, LCM, Turbo) and ComfyUI API

    Autogen/AI Agents & Local LLMs autonomously create realistic Stable Diffusion model

    Worldbuilding an IP with 3D and AI ft. MVDream | Part 1

    ControlNet 1.1 for Character Design | Part 2

    Creating a PNGtuber with Character LoRA

    Training LyCORIS (LoCon/LoHa) for Style | LoRA Part 2

    ControlNet for Character Design | Part 1

    Training LoRA for Style | LoRA Part 1

    Creating Stylized Vector Logo Characters

    How I train DreamBooth for Style:

    Model Demonstration:

    Example settings: Steps: 50, Sampler: Euler, CFG scale: 7, Size: 512x512

    Example prompt: DBfantasyart style, masterpiece, 1girl, beautiful female portrait of sorceress

    Description

    Safetensors uploaded.

    The model might be a little underfitted this time, but at least there are less artifacts in v1.5 inference outputs when compared with the outputs of the v1.3 model. Some cherry-picking is necessary.

    I might have to increase the the step count a little bit more in addition to increasing the warm-up learning rate.

    FAQ

    Comments (2)

    sparkinspaceJan 13, 2023ยท 1 reaction
    CivitAI

    I love both of your releases. Would you consider merging both of them into one, so that we don't have to switch back and forth? Thanks.

    kasukanra
    Author
    Jan 13, 2023

    Thank you for the kind words. Do you mean training both concepts in a single DreamBooth training session? Merging them together through the checkpoint merger would reduce the effectiveness of each token and model.

    If it's the former method, I'll try it when I have time. I didn't use the DreamBooth extension in AUTOMATIC1111 webui to train either of these models, but I do see that it's possible to train multiple concepts without degradation (?) using the webui.

    As for me, I like to keep models separate since I'm iterating over the re-training process pretty often, but I can probably do a stable release of a two concept model when I think the models are performing well enough.

    Checkpoint
    SD 1.5

    Details

    Downloads
    882
    Platform
    CivitAI
    Platform Status
    Available
    Created
    1/12/2023
    Updated
    4/30/2026
    Deleted
    -
    Trigger Words:
    dbfantasyart style

    Files

    fantasyArtStyle_fantasyArtStyleV15.safetensors

    fantasyArtStyle_fantasyArtStyleV15.ckpt

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.