cinematic film still {main subject} shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy

Negative Prompt:

anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, noise background, worst quality, worst anatomy, distortion, low quality

cfg: 4

sampler: dpm++ 3m sde

steps: 30

Text Generation

Positive Prompt:

blurry foreground with text "{text}" {main subject}

Negative Prompt:

worst quality, worst anatomy, distortion, low quality

cfg: 4

sampler: dpm++ 3m sde

steps: 30

==========================================

20240515 version 3.0

Trained with movie still images, manually picked up aesthetic images.

Improve "Chinese", "Traditional cloth", etc

This version finally achieve the shadow and lighting effect of what I want.

So, version jumped to 3.0

Something got nerf due to this training:

text ability

hands

eyes

Might fix above with new fixing in further version.

20240510 version 2.6

This version is trained on generated images by 2 pass workflow, pixart-sigma2openxl2.5

Mainly improved shadow and light

Maintain the same level of text generation as before

Fixed "borning" standing pose due to version 2.5 training

20240504 version 2.5

Creative photo was added as a stylish tag.

The following version would continue improve this tag.

20240502 version 2.4b

Slightly improve text accurate. Most of time would be improved compare to 2.4a. But a few time the 2.4a still better than 2.4b.

Adjust photorealistic generation.

please read the suggestion of 2.4a for text generation.

2.4c might be a dpo on top of 2.4b.

20240428 version 2.4a

Focus on text generation, suggested prompt for text generation:

Positive Prompt:

blurry foreground with text "{text}" {main subject}

Negative Prompt:

worst quality, worst anatomy, distortion

cfg: 3.5

sampler: dpm++ 3m sde

using align your steps: 10

not using align your steps: 30

Reminder: version 2.4a is alpha of openxl2.4. It might have many version based on 2.4.

20240425 version 2.3e

Improve shadow and light

Improve face detail

20240423 version 2.3c

restore clip to version 2.2 which perform better

20240422 version 2.3

Trained with PAG generated images from version 2.2

Improve structure, anatomy, skin color etc

Might slightly impact the text generation.

20240417 version 2.2

mainly improve fingers

slightly improve shadow

20240415 version 2.1

Adjusted skin and shadow

slightly improved anatomy

20240412 version 2.0

Fully retrained from sdxl base, multi round training

dataset:

a few anime images, fashion images, filtered pickscore dataset, 4k video captures, cosplay photo, nvidia inthewild dataset, etc

Trigger words:

anime artwork, fashion photo, cosplay photo, raw photo, cotton doll, woman, man, etc

To achieve realistic images, please use raw photo of at the beginning and don't use something like unity, cg, etc

To achieve cute image, might try to add cotton doll to get a shape of cotton doll

To generate woman, please use woman rather than 1girl. It would usually generate a girl when using 1girl.

Merged list:

sdxl dpo lora

openxlv1.4

--kohaku alpha and beta

No animagine v3 and pony diffusion in merge

Please beware, chinese woman, chinese traditional cloth, something related to chinese race extended weird sdxl chinese biases. It would be improved in further version. But now, please don't use this tag to generate realistic image.

20240323 version 2.0 beta

20231229 Version 1.4 Human Preference Improvement

Finally, before 2024 version 1.4 is made.

Trained with pickapicv2 dataset with 4000 filtered dataset.

Aims to improvement the aesthetic, realistic, pupil, shadow and light, composition etc.

It is a overall improvement compared to old version.

If any want to use turbo version, I suggest use the turbo lora or lcm lora with is more efficent than I merge with the lora or model.

Appreciate comment or image post. Thank you.

20231201 Version 1.3 Turbo Merge And Female Faces Adjustment

Merge with SDXL Turbo to provide quality output with 10 steps fast generation.

Adjust female face details such as shadow, lips, contour, etc

Openxl v1.3 turbo suggested generation config:

Steps: 10

Cfg: 1~5 suggested 2

Sampler: dpmpp_3m_sde

Scheduler: sgm_uniform

Full version output would be slightly different than the turbo.

It is suggested to use turbo version as a fast generation and full version for the quality.

20231128 Version 1.2 Realistic Shadow and Eyes Generation Improved Version

Mainly adjusted the realistic shadow and improved realistic eyes generation. Reduce the affect of mixing anime model.

20231127 Version 1.1 Hands and Anime Improved Version

Version 1.1 is the first version merged with anime model aims to improved anime style.

All merged checkpoints would be added at end of description.

Aside of anime model, another big improvement is the hands generation.

It trained with a few of hands dataset using llm for captioning.

Carefully fine tune and tested with various checkpoint and

Merged with a lora using LECO tech from their recent paper.

Test result:

70% exactly 5 fingers in 100 generation of waving hands test.

Test prompts:

Positive:

good hands, photograph of a beautiful woman waving hands for her boyfriend

Negative:

pool drawing hands, unfinished drawing hands, sketch, abstraction, anime

Road map:

Finished:

Hands Generation v1.1
Anime Style v1.1
Realistic Shadow v1.2
Eyes Generation v1.2
SDXL Turbo Merge v1.3
Female Face Adjustment v1.3

Further Development:

Faces
Pose
Expression
Age group
Specific Anime Character
Cosplay Costume
Artstyle

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Training Method:

The newest update has used various training method, including:

Quality training from Meta emu
Descriptive caption from Openai Dalle3
Direct fine tune
etc

The training dataset didn't include any image from nijijourney. I don't like the niji style much.

This checkpoint aims to as an improved version of SDXL which could provide various style.

User Instruction:

Aspect Ratio:

SDXL standard aspect ratio, please avoid to use 512*512, 512*768 those SD1.5 width height to generate images.

Prompt Style:

[Style word] [description] [supporting word]

It is recommanded to use above format to generate image in certain style.

Because SDXL is capable to generate in various style, it should state the style before your subject to control the image style.

If it is not enough to generate certain style, please use neg prompt to state the style you don't want.

For example:

Pos:

photo of an anime pikachu playing basketball in a realistic wordon, a closed laptop on a desk, detailed background

Neg:

white background, 3d render

It is not suggested to use a huge combination of negative prompt which used in SD1.5.

You might want to try with or without the negative prompt to see the different.

Classifier Free Guidance (CFG):

It is recommended to use 2.5~5.5 cfg.

Sampler:

It is recommanded 3m sde gpu.

Scheduler:

It is recommanded karras.

Steps:

25~40

Just try it for various prompts and please share the image🖼️ and feedback📓 if you like it.

Thank you❤️.

Contact Method:

[email protected]

Wechat:

fkdeai

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Merge List:

20231127 version 1.1

Kohaku-XL beta 6.9

https://civitai.com/models/162577?modelVersionId=203416

Kohaku-XL alpha nyan

https://civitai.com/models/136389/kohaku-xl-alpha

SDXL Cross Style Hand Fixing Lora

https://civitai.com/models/211577/sdxl-cross-style-hand-fixing-lora?modelVersionId=238349