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    ZavyArtifex - b1
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    Please consider joining my Patreon so I can keep most of my work available for everyone - I'll be releasing early access models there for a cheaper monthly fee than buying them here individually, and also will be providing exclusive models and more!

    For business inquiries, commercial licensing, custom models, and consultations, please get in touch at [email protected] or [email protected]. You can also contact me here through CivitAI DM or join my Discord.


    Introduction

    Almost everyone appreciates the art of the old masters like van Gogh, Vermeer, Rembrandt, Caravaggio, Rubens, and others. I have developed a specialized model that can mimic the styles of these artists, provided you specify the desired style. While many models can achieve this when given the right instructions, mine is uniquely designed to excel in replicating these artistic styles. By default, it automatically produces paintbrush-like strokes in its creations.

    I kindly request that you share your creations both here and on my Discord server, as I would greatly appreciate the opportunity to see them and motivate me to spend more time in further ventures here.

    Pros and cons

    Pros

    • Interesting painting texture in the images.

    • Better anatonomy than most other painting oriented models.

    • Adept at multiple painting styles, ranging from van Gogh to Rembrandt.

    Cons

    • Depending on the painting style desired, it may need very specific prompting. Especially when using LORAs, to still get the desired effect. Recommended is to increase weighting on (in x style:1) in the prompt, where x is the name of the artist or the style.

    • Due to a more rough painting style, details in background are lost. Thus the further away the subject, the worse the result.

    Roadmap

    1. In-painting model release. Done.

    2. Update the model to minimise some of its drawbacks and incorporate a more current blend of models. Done.

    3. Models inspired by anime and painterly styles. Done.

    4. SDXL models

    5. Pioneering uncharted LORA subjects (withholding specifics to prevent preemption).

    Tips

    • To better understand the preferences of the model, individuals are encouraged to utilise the provided prompts as a foundation and then customise, modify, or expand upon them according to their desired objectives.

    • Avoid using face restoration techniques as they are often unnecessary and can lead to inferior results compared to the original model.

    • Consider utilising Dynamic Thresholding as a method to control CFG. This technique can help you get improved results.

    • If you find that the details in your work are lacking, consider using adetailer if you’re unable to fix it with prompt alone. Adetailer or similar tools can enhance and enrich the level of detail, resulting in a more compelling output.

    • For even better LORA results, make use of the LORA block weighting. By incorporating that, you can further enhance the outcome and achieve superior results in the LORA process.

    • Avoid using underscores in your prompt, unless part of the LORA or TI.

    • To maintain optimal results and avoid excessive duplication of subjects, limit the generated image size to a maximum of 768x768 pixels or 768x1024 pixels (or vice versa). If you require higher resolutions, it is recommended to utilise the Hires fix.

    Prompts and TI

    Recommended positive prompts: in artists name style, award winning oil painting, baroque

    Recommended negative prompts: low quality, worst quality, lowres, monochrome, signature, text, logo, photography, 3d, 3dcg, frame, border, painting \(object\), picture frame,

    You are further encouraged to include additional specific details regarding the desired output. This should involve specifying/changing the preferred style, camera angle, lighting techniques, poses, color schemes, and other relevant factors.

    For negative prompts, consider employing Textual Inversion techniques. The following are recommended: easynegative, ng_deepnegative_v1_75t, and one of the various hand TI's like badhandv4. However, there are other TI available that potentially yield more interesting results. Feel free to experiment with different TI and share your findings!

    Recommended settings

    • Vae-ft-mse-840000-ema-pruned.vae.

    • Euler A, DPM++ 2M Karras, DPM++ SDE Karras.

    • Steps 20~40 (lower range for DPM, higher range for Euler).

    • Hires upscaler: UltraMix_Balanced or 4x_foolhardy_Remacri depending on image.

    • Hires upscale: Whatever maximum your GPU is capable of, but preferably between 1.5x~2x.

    • CFG scale 5-8 (unless you use Dynamic Thresholding).

    • Clip skip 2.

    Model recipe

    The recipe for the model is quite complex, as it involves utilising different weight settings for each individual input and output layer in each model used in the mixture. Consequently, the following instructions may not yield results that closely resemble this specific model. However, the fundamental recipe is as follows:

    Model A:
    childrensStories
    Model B:
    sacrumProfanum
    Model C:
    revAnimated
    
    Model A:
    ZavyArtifex_a1
    Model B:
    garlandStyle_v10

    I would like to express my gratitude to the creators of the models incorporated in this mixture, as well as the creators of the models that came before them.

    Social media

    You are welcome to join my recently created Discord server, where we can engage in discussions, share our experiences in AI, and showcase the things we’ve made with AI. You are encouraged to join and ask any questions or seek additional tips and tricks related to my models or AI in general. Your participation would be greatly appreciated. Furthermore, I will be releasing early testing versions of my models on Discord. If you are interested in being among the first to try them out, I invite you to join the Discord server.


    NOTE: Some of the images have had their contrast edited to enhance details. Results straight from generation may vary.

    Description

    First release.

    FAQ

    Comments (6)

    firefly09Jul 28, 2023
    CivitAI

    I get error RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0
    All other models I use work, but this just not load.

    Zavy
    Author
    Jul 29, 2023

    Not sure what exactly is going wrong, but with that description, it seems on your end. Despite it looking like it's the model due to other models working. Can you describe your workflow, e.g. which models you normally use, whether this is the last model you've been trying out, which UI you use, etcetera?

    firefly09Jul 29, 2023

    @Zavy i use latest automatic1111 and models like epic realism, realistic vision, cyber realistic, etc. (btw even trying to load the recommended vae I'am getting the same error :( )

    Zavy
    Author
    Jul 29, 2023

    @firefly09 Very weird, I'm sure you've rebooted and restarted a1111, right? The VAE especially makes it clear something else is going on, it's a 7 month old VAE released with SD1.5, nothing particularly to do with this model, just what I found worked best.

    firefly09Jul 29, 2023

    @Zavy the logs are showing this: safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

    Zavy
    Author
    Jul 29, 2023

    @firefly09 Ah, that seems to be one of a few possible issues. Either it's a corrupted file, which means see if redownloading fixes it or one of the other file versions. Or, you have some setting like --lowram and --lowvram. Are your other models also in safetensor instead of ckpt?

    Checkpoint
    SD 1.5
    by Zavy

    Details

    Downloads
    1,103
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/28/2023
    Updated
    5/11/2026
    Deleted
    -

    Files

    zavyartifex_b1.safetensors

    Mirrors

    CivitAI (1 mirrors)

    zavyartifex_b1.safetensors

    Mirrors

    CivitAI (1 mirrors)

    zavyartifex_b1.safetensors

    Mirrors

    HuggingFace (1 mirrors)
    CivitAI (1 mirrors)

    Available On (1 platform)

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