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AIARTCHAN/roughnessPainter_v1.0
roughnessPainter_v1.0 is a text-to-image model from AIARTCHAN. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
Downloads · 30 days
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From the Hugging Face model README
[병합대회] Roughness Painter_창작자를 위한 모델
↑ 한국어 설명
(Translate from korean)
After Midjourney won the art contest, I used the generative Ai.
Attempted to apply to reducing unnecessary time.
Traditionally, there is a mat painting technique that combines pictures or images to produce images for efficiency
A technique used primarily in the game or movie industry to create demo images when planning scenes.
The focus is on replacing the photographic material that is merged here with the material extracted from Ai, specifically to create the material of a clear subject, such as a character.
Rougheness Painter is used to simplify the process of making my artwork.
All existing models can simplify painting.
For me, it is used as a model for fast processing of character mat painting.
The real-life process is simple.
Rough Sketch -> Create Variation with Ai -> Retouch and Complete
Use the images generated during this process to quickly create thin concept art.
It is created in an easy-to-apply form by creators with a style of painting (e.g., WLOP, NIXEU, or more casual style) called Mute, Painting Style.
High-quality images are good to use on their own, but it is a loss to retouch in Photoshop and Clip Studio.
A separate painting operation is required to match the imagined image with the implemented image, which is more efficient.
It reduces completeness, but increases the accessibility and efficiency of retouching by capturing the volume and silhouette of the shape.
Since the scale has been lowered, steps are also lowered and generation time is minimized.
This is to avoid quality degradation for the purpose of application in this process.
It should be easy to express depth indirectly by providing a detailed contrast between the subject and the background.
However, it is important for creators to show their style well, so if they rely on additional functions,
There is a greater chance of losing personality in the description.
To rule this out, certain styles should not be overstated, and even if they are not, they should be abstract.
In addition, my personal wish was not to rely on weights and not to write long prompts.
The model at the top of the link is used.
https://civitai.com/models/5414/pastel-mix-stylized-anime-model
https://civitai.com/models/5398/dalcefov3animepastelmix
https://civitai.com/models/4468/counterfeit-v25
https://civitai.com/models/5777/ultracolorv4
Merge expression.
https://civitai.com/models/5414/pastel-mix-stylized-anime-model
*(0.5)
https://civitai.com/models/5398/dalcefov3animepastelmix
= = Source A
https://civitai.com/models/4468/counterfeit-v25
*(0.5)
https://civitai.com/models/5777/ultracolorv4
= = Source B
A + B (*0.5)
Base Prompt: masterpice, (best quality), ((best detailed)), depth of field,
Nagative Prompt: (worst quality:1.4, low quality:1.4, bad anatomy:1.4, cropped hands:1.2, extra digit:1.2, fewer digit:1.2), lowres, bad hands, text, error, missing fingers, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, cropped hands, extra digit, fewer digit, (mask), (fat:1.3), (Chubby:1.3), (curvy:1.3), (loli:1.3), animal_ear, huge breasts, ((2girl)), (3girl), (4girl), (squat_down), corset, toes, (3 arms), (3 legs), multiple_views, ((extra_arms)), extra_limbs, (mutated_hands_and_fingers), bad_prompt_version2, (((Multiple_arms))), (4 arms), (4 legs), multiple_limbs, multiple_legs,
Both t2i and i2i are the same.
Set value
VAE: https://civitai.com/models/5414/pastel-mix-stylized-anime-model
Sampler: `DPM++ 2M Karras / DPM++ SDE Karras``
Steps: 10~20
CFG: 4~9
Upscaler: Lanczos / R-ESRGAN 4x+ Anime6B
Denoise: 0.5
Tip (Optional)