SOLORDZ MOSS Base version
Our first MOSS beta version of the model
Our settings:
Based on base model, work with 24 steps, cfg=2-3
er_sde/beta
But you can experiment with the parameters.
If you like our work and want support us please support us directly, since I am in a country which cannot get money from Civitai https://www.buymeacoffee.com/tripleheadg
Also check out our other models Triple_Headed_Monkey Creator Profile | Civitai
SolordZ_Moss Art & Anime Model
This model has been trained on a diverse collection of artistic styles, anime aesthetics, and recognizable characters, covering a wide range of visual approaches, from stylized illustrations and Japanese animation to more realistic imagery.
Alongside the model, we developed and tested a structured six-part prompting system designed to achieve clearer, more detailed, and visually consistent generations.
Rather than relying on a single collection of keywords, this approach separates visual style, artistic context, subject information, and scene description into distinct sections. This helps the model interpret complex prompts more effectively, improving composition, character consistency, anatomical accuracy, and the reproduction of fine visual details.
Recommended Prompting System
Our prompting system uses six sections:
1. Mode
Defines the visual medium and overall artistic direction.
For anime, this may include the animation studio, artist, franchise, adaptation, illustration technique, linework, cel shading, color palette, and visual effects.
For photography, it describes the photographic approach, camera characteristics, image texture, lighting behavior, and processing.
2. Era
Establishes the visual period and its associated aesthetic characteristics.
Examples include 1990s Japanese animation, contemporary anime production, vintage film photography, or modern digital photography.
3. Theme
Defines the subject, atmosphere, genre, and narrative context of the image.
This section communicates the overall creative intention without overloading the detailed scene description.
4. Fashion
Describes clothing styles, accessories, materials, and relevant fashion influences.
It helps establish the intended wardrobe while leaving precise garment placement and physical details to the main prompt.
5. Additional Tags
A concise, comma-separated collection of important visual identifiers.
This may include character names, franchises, subject counts, poses, expressions, objects, environmental elements, and distinctive visual features.
6. Prompt
The main descriptive section and the most detailed part of the system.
It describes the complete scene in natural language, including subject appearance, facial expressions, body positioning, limb relationships, clothing, object interactions, environment, composition, lighting, colors, and textures.
Particular attention is given to spatial relationships and anatomical clarity: which hand holds an object, where each limb is positioned, how subjects interact, and how foreground and background elements overlap.
The objective is to eliminate unnecessary ambiguity and give the model a precise, coherent visual description.
Why use this structure?
The six sections work together to establish both the overall visual identity and the smallest scene details.
In our testing, this approach has produced more controlled, detailed, and visually coherent results than less structured prompting.
The format is suitable for anime, illustration, character-focused artwork, and photorealistic generation.
Recommended Sampling Settings
These sampler and scheduler combinations have worked well in our testing:
Generation type Sampler/Scheduler
Anime / Illustration deis_3m_ode / sgm_uniform
Realism / Photography dpmpp_2m_sde / radiance_shift
For the realism configuration, install the following ComfyUI custom-node package:
Since this is the basic model, you can use CFG and negative prompt.
For realism, we recommend CFG=2 and 24-30 steps
for anime and art CFG=3.5 30-50 steps
Generation Quality and Workflow
All showcased images are generated directly with the model using a basic ComfyUI workflow.
No external upscalers, post-processing enhancers, detail restoration tools, or additional image improvement stages are used.
The examples represent the model's native generation capabilities rather than results enhanced through a separate processing pipeline.
For the best results, we recommend using the structured six-part prompting system described above.
SolordZ_Zero_Restart (Krea2)
Our an experimental version based on the RAW model.
It works in 8 steps and CFG=1, but the prompt needs to be written in more detail than for the Turbo version.
There are two versions available at once Int8_Convrot and FP8
ZIT/ZIB/Krea 2 project collaboration with TripleHeadedMonkey
Krea2 project
Our first TE for Krea2 - Improved prompt understanding and details TE_SoLordZ_ZImage_Krea2 - Krea2_SolordZ_TE_v1.0 | Krea 2 Text Encoder | Civitai
ZIB project
Returning after a pause.
I left Civitai for a short time due to personal circumstances. However, during my absence, together with Triple Headed Monkey, we did not stop working and conducted several major projects.
Today I decided to publish one of the very first, but at the same time strong versions of our joint development — the improved ZIT base. Key changes compared to what was before: increased detail, reduced background blurring (less blurring) and improved realism.
Thanks for waiting. We are back and ready to continue working.
We use our training data and our soft for training.
!!! For best result use this TE THM_UNC_Z-image_TE - v1.0 | ZImage Text Encoder | Civitai
We released our another uncensored TE Z_Image_TE_SoLordZ - Z_Image_TE_SoLordZ_v1 | ZImage Text Encoder | Civitai
If you like our work and want support us please support us directly, since I am in a country which cannot get money from Civitai https://www.buymeacoffee.com/tripleheadg
our WF's SoLordZ WF (upscale) - v1.0 | ZImage Workflows | Civitai
and https://civarchive.com/models/2662358?modelVersionId=2989530
for realism use euler/normal, for art sometimes better result give euler_a/normal
All images in the gallery just raw generation w/o any tricks or upscale
ZIB SoLordZ v1
ZIB SoLordZ is a new chapter in the evolution of Z—Image and our collaboration with Triple Headed Monkey. The basic Z-Image model (up to 50 steps, CFG 5-9) is flexible, but requires fine tuning. Our goal was ambitious: to keep control of the "slow" model, but to teach it to generate in 8 steps with CFG=1.
We are releasing ZIB SoLordZ, one of our first public releases in a series of improvements to the Z Image Base.
ZIB SoLordZ is designed to work in "turbo mode": 8 steps, CFG=1. Due to this, it ignores the negative prompts. Everything that you want to exclude should be written directly in a positive prompt. This is especially important for anatomy, where control is crucial.
SoLordZ Krea2 Turbo v1
Together with TripleHeadedMonkey (https://civarchive.com/user/Triple_Headed_Monkey) we present our first merged version based on the stunning Krea2 Turbo base.
We are actively working on future updates, so stay tuned! Let us know your feedback and don't forget to show us what you create. ❤️
We use er_sde/beta sampler for the first pass and euler/simple for the 2nd pass.
You can use our WF (in each image).
Description
SolordZ_Moss Art & Anime Model
This model has been trained on a diverse collection of artistic styles, anime aesthetics, and recognizable characters, covering a wide range of visual approaches, from stylized illustrations and Japanese animation to more realistic imagery.
Alongside the model, we developed and tested a structured six-part prompting system designed to achieve clearer, more detailed, and visually consistent generations.
Rather than relying on a single collection of keywords, this approach separates visual style, artistic context, subject information, and scene description into distinct sections. This helps the model interpret complex prompts more effectively, improving composition, character consistency, anatomical accuracy, and the reproduction of fine visual details.
Recommended Prompting System
Our prompting system uses six sections:
1. Mode
Defines the visual medium and overall artistic direction.
For anime, this may include the animation studio, artist, franchise, adaptation, illustration technique, linework, cel shading, color palette, and visual effects.
For photography, it describes the photographic approach, camera characteristics, image texture, lighting behavior, and processing.
2. Era
Establishes the visual period and its associated aesthetic characteristics.
Examples include 1990s Japanese animation, contemporary anime production, vintage film photography, or modern digital photography.
3. Theme
Defines the subject, atmosphere, genre, and narrative context of the image.
This section communicates the overall creative intention without overloading the detailed scene description.
4. Fashion
Describes clothing styles, accessories, materials, and relevant fashion influences.
It helps establish the intended wardrobe while leaving precise garment placement and physical details to the main prompt.
5. Additional Tags
A concise, comma-separated collection of important visual identifiers.
This may include character names, franchises, subject counts, poses, expressions, objects, environmental elements, and distinctive visual features.
6. Prompt
The main descriptive section and the most detailed part of the system.
It describes the complete scene in natural language, including subject appearance, facial expressions, body positioning, limb relationships, clothing, object interactions, environment, composition, lighting, colors, and textures.
Particular attention is given to spatial relationships and anatomical clarity: which hand holds an object, where each limb is positioned, how subjects interact, and how foreground and background elements overlap.
The objective is to eliminate unnecessary ambiguity and give the model a precise, coherent visual description.
Why use this structure?
The six sections work together to establish both the overall visual identity and the smallest scene details.
In our testing, this approach has produced more controlled, detailed, and visually coherent results than less structured prompting.
The format is suitable for anime, illustration, character-focused artwork, and photorealistic generation.
Recommended Sampling Settings
These sampler and scheduler combinations have worked well in our testing:
Generation type Sampler/Scheduler
Anime / Illustration deis_3m_ode / sgm_uniform
Realism / Photography dpmpp_2m_sde / radiance_shift
For the realism configuration, install the following ComfyUI custom-node package:
Since this is the basic model, you can use CFG and negative prompt.
For realism, we recommend CFG=2 and 24-30 steps
for anime and art CFG=3.5 30-50 steps
Generation Quality and Workflow
All showcased images are generated directly with the model using a basic ComfyUI workflow.
No external upscalers, post-processing enhancers, detail restoration tools, or additional image improvement stages are used.
The examples represent the model's native generation capabilities rather than results enhanced through a separate processing pipeline.
For the best results, we recommend using the structured six-part prompting system described above.