CivArchive
    Kirazuri (Ernie) - v0.1
    NSFW
    Preview 145246902
    Preview 145246956
    Preview 145247735
    Preview 145247039
    Preview 145247319
    Preview 145247533
    Preview 145247250
    Preview 145246998
    Preview 145247217
    Preview 145247155
    Preview 145247145
    Preview 145247519
    Preview 145247263
    Preview 145247799
    Preview 145247802
    Preview 145247163
    Preview 145247675
    Preview 145247677
    Preview 145247681
    Preview 145323579

    Kirazuri (Ernie)

    Kirazuri (Ernie) is a full fine-tune of the ERNIE-Image model.

    ERNIE-Image is an open text-to-image generation model developed by the ERNIE-Image team at Baidu.

    Version 0.1 (Latest) is trained on ~50,000 images at multiple resolutions in three total stages up to a maximum resolution of 1024^2 pixels.

    This fine-tune focuses on several goals:

    - Learn new concepts/styles/characters associated with tag-based prompting.

    - Enhance the model aesthetic guided by manually applied quality, aesthetic, and style tagging

    - Preserve the text-rendering capabilities in multiple languages (English, Chinese, Japanese)

    For more details, see the Kirazuri (Ernie) Training Diary

    Training Details Summary

    Trainer: diffusion-pipe

    Training device: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition

    Total training time: ~500 hrs (~20 days)

    Total samples seen (un-batched steps): ~1,328,000

    Training resolutions: 512^2, 768^2, 1024^2

    Additional Features

    - Tag Dropout: 10% with protected first 8 tags

    - Tag Shuffle: Applied to last unprotected tags

    - Natural Language: 6 total Short and Long Caption variants

    Quantizations

    Int8 convrot quants of the model and text encoder are available and strongly recommended for use in ComfyUI.

    Generation speed *(on NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition):

    Before:

    26gb vram, 1.35it/s

    After:
    18gb vram, 1.89it/s

    Installing and running

    Workflow:

    The model is natively supported in ComfyUI. The above image contains a workflow; you can open it in ComfyUI or drag-and-drop to get the workflow.

    Generation Settings

    Recommendations:

    • 1024^2 Resolutions

    • 50 Steps

    • CFG 4

    • er_sde or euler Sampler

    *Some previews are generated at 1280^2 resolutions - despite no training yet at this resolution, the model can still perform well for small details here.

    *The model can converge in as few as 20 steps, but anatomy and prompt adherence will suffer.

    Prompting

    This model is trained on combinations of booru-style tags and natural language captions.

    It does not perform well yet with tag-only prompts, and they are best used in combination with long natural language descriptions.

    This follows from the base models natural language only training, and intended use with a prompt enhancer that expands descriptions to long-format text.

    Tag order

    Tags combined with natural language can be placed at the start or end of the prompt.

    [quality/meta/safety tags] [character] [series] [artist] [1girl/1boy/1other etc] [general tags]

    [quality/meta/safety tags] [character] [series] [artist] tag groups are also not shuffled, so their order may have some influence on generations.

    Quality and Aesthetic tags

    Human score based: masterpiece, best quality, very aesthetic, aesthetic

    Meta tags

    absurdres, official art, etc

    Styles

    painterly, chiaroscuro, ligne claire, flat color, no lineart, blending, etc

    traditional media, oil painting \(medium\), watercolor \(medium\), etc

    Recognitions

    • Thanks to Baidu labs for the open research and release of the ERNIE-Image model.

    • Thanks to tdrussell of CircleStone Labs for the diffusion-pipe trainer.

    • Thanks to narugo1992 and the deepghs team for open-sourcing various training sets, image processing tools, and models.

    • Thanks to silveroxides for the convert_to_quant quantization tool.

    License

    Apache license 2.0

    Note that ERNIE-Image is governed by the same license; this fine-tune does not grant any rights or impose any restrictions to the base weights.

    Description

    Checkpoint
    Ernie
    by motimalu
    Download (Beta) View on CivitAI
    anime
    base model
    characters
    aesthetic
    video games
    digital illustration

    Details

    Downloads
    17
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/11/2026
    Updated
    10/11/2026
    Deleted
    -
    Trigger Words:
    masterpiece
    best quality
    very aesthetic

    Files

    flux2-vae.safetensors

    Size:
    320.64 MB
    SHA256:
    d64f3a68e1cc4f9f4e29b6e0da38a0204fe9a49f2d4053f0ec1fa1ca02f9c4b5

    Mirrors

    HuggingFace (201 mirrors)
    CivitAI (9 mirrors)
    ModelScope (6 mirrors)
    ModelScope CN (4 mirrors)

    kirazuriErnie_v01_txt_bf16.safetensors

    Size:
    7.19 GB
    SHA256:
    49a750a128863854eac7d85e1a277a7b44bf6ec3646405b84686dfeeca3708ca

    Mirrors

    HuggingFace (9 mirrors)
    CivitAI (3 mirrors)
    CivitasBay (1 mirrors)
    ModelScope (1 mirrors)
    ModelScope CN (1 mirrors)

    kirazuriErnie_v01_int8.safetensors

    Size:
    7.49 GB
    SHA256:
    c39d77344f22f2c89b6659951e6a3ee0c78dfe2f27786f6f63c74cc29468cd51

    Mirrors

    CivitAI (1 mirrors)

    kirazuriErnie_v01_bf16.safetensors

    Size:
    14.96 GB
    SHA256:
    a2830b086f78327a9aec212f097daa651fcb7c459fb320b2530cd8a4fd6d3c67

    Mirrors

    CivitAI (1 mirrors)

    kirazuriErnie_v01_txt_int8.safetensors

    Size:
    3.61 GB
    SHA256:
    368ada185d2954d33534255dbd8dd48777a2f4ce805412199c9d4134329ad801

    Mirrors

    CivitAI (1 mirrors)