
Versions: LORA SD1.5 | LORA SD 2.1-768 | LYCORIS SD2.1-768
Zenkai System Explained: https://civitai.com/articles/199
Beta1 sub models, models can be conditioned to provide additional flavours.
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Zenkai Ultra Hermit released 30 April 2023
variation weights using my oldest successful recipe -
Zenkai Ultra Shift TBA
variation using a new recipe -
Zenkai Ultra Instinct TBA
variation using newest recipe
JDZ Beta1 - 22 April 2023
Beta1 is released for testing and evaluation. While convergence was reached, there are 230 styles/concepts contained within. This was trained on my original datasets used to create many CKPT /LORA already released on Civit. The Training Data contains combined instructions on making the most from this new versatile model format.
UPDATE - added new "combined-instructions.zip" now includes Instructions.txt and wildcards.zip. Wildcards are now included for use with Dynamic prompts.
JDZ-CaptionList.txt - ~5000 Example prompts used in captioning the 230 sets
JDZ-StyleTriggers.txt - ~230 "Trigger words" used for each style
JDZenkai-GenPrompts2200.txt - ~4200 "GPT2 Generated Prompts" trained on the Caption List
(Above pictured) Wildcard files now included
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Future releases will be trained to Epoch 40 (~200,000 steps)
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The Beta1 model is currently trained to Epoch 19 (~97000 steps.
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There are many ways to use this model as it contained all my CKPT styles in one model.
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You do not need to use Triggers and can prompt normally.
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You can prompt using words listed in DJZ-Styletriggers.txt to anchor to a specific style, or use multiple triggers with attention weighting to control the output.
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You can use one or more prompts as shown in the DJZ-CaptionList.txt.
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You can use the DJZ-CaptionList.txt and/or JDZenkai-GenPrompts2200.txt as a wildcard with Dynamic Prompts, simply place it into the /wildcards/folder and rename it to your choosing.
I trained a GPT2 Generator which created many variations on the Example Prompts, an example of these are the JDZenkai-GenPrompts2200.txt
This is an ongoing project so expect a LORA version next. It will take some time to create the LORA version due to a difference in the captioning. This is trained using a Parallel Dreambooth Method which prevents concept/style bleeding, but you can still mix by interpolating trained terms/triggers in the prompt.
TLDR there is a missing comma, can you find it?
描述:
训练词语:
名称: johnsonDiffusion_ultrahermitBeta1.safetensors
大小 (KB): 2546298
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success