Add More Details - Detail Enhancer / Tweaker
Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕
I've been using the (great) Detail Tweaker by CyberAIchemist for a while now, and I was really curious. I really just wanted to know if I was capable of doing something similar.
I had a lot of fun doing this, and I think it came out pretty great. I wil ldefinitely incorporate it in most of my work going forward.
You should use this between 0.5 and 1 weight, depending on your preference. You can go lower than 0.5 for a more subtle effect, of course.
I also found out that this gives some interesting results at negative weight, sometimes. See the examples to see what I mean.
How to use LoRA's in auto1111:
Update webui (use
git pulllike here or redownload it)Copy the file to
stable-diffusion-webui/models/loraSelect your LoRA like in this video
Make sure to change the weight (by default it's
:1which is usually too high)
Description
FAQ
Comments (62)
You kept teasing us with this. Glad you finally uploaded!
it just wasn't ready :D
it's hard to tell these days if this is embedded into a checkpoint so tricky when or not to use it. Did disable it when i was trying your latest realistic model, will retry in some moment with this activated. Anyway, thanks for your work and that you share them.
Absolute Reality is great on its own. I advise you only use detailer enhancements if you feel you need them or to achieve a specific style.
uff... an interesting LoRa, I didn't know I needed it until I saw it hehe... I will definitely use it when generating images
More interested in the -1 value than 1 but good job here.
yeah, it's a way to reduce detail :)
so how was ur work different from CyberAIchemist? hope u not just simply copy and submit.
lays at Lykon's feet LORD LYKON WHAT MUST WE PAY YOU FOR SUCH GREAT CONTENT - coughs
I've been in the same state since Lykon released CLAMP and Yoshitaka Amano lora lol
lays on the side too
Lykon a real one
So what are the differences between this and the other one? How is it even done? To my feeble eyes, they both seem to have the same function.
they do. If you read the description, this mostly started as an experiment just to see if I could make it.
@Lykon Yeah I did, that's why I wanted to ask if there was any distinctions for specific use cases between them, sounds like they're basically the same so thanks for clarifying.
这种细节调整的lora是怎么训练的?要怎样的数据集?
bilibili 【完美炼丹术,差异炼丹法】最新LoRA训练进阶教程10
有sd2.1的版本嗎?
not that I'm aware of.
Why do I always get this ERROR (below) when I use this LoRA? Please point out for me the solution, I'm not a tech person so I don't understand how to solve it. Thanks! The ERROR as below (it always appears no matter when I use this LoRA solitarily or in combination with other ones. As long as I use this LoRA in my prompt, the ERROR shall appear):
"WARNING:tensorflow:6 out of the last 6 calls to <function Model.make_predict_function.<locals>.predict_function at 0x000001D92AF5E290> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details."
Please help me. Thanks!
this is a normal lora, maybe the file is corrupt? Try to redownload it.
Any plans to port this to v2.1 model?
no.
what are the trigger words for this lora? nothing is listed in the profile
<lora:more_details:1>
I am actually quite curious why the trigger words are needed since we usually add <lora:**:1>
@klhscott Some lora do more than one thing and need the triggers to fine tune. Though, for some, yeah, just a weight value sufficient.
[@klhscott]
Note: Translation from Spanish (Spain) to English.
The text may contain semantic errors.
───
I've been testing the tags.
Whenever I can I look at all the tags whether they are power 50 or 1
When you only put the instruction <lora:more_details:1> you are not really giving it the power it needs.
It is as if I received a light part of the lora, even though it is at 1
There are times that it is not even activated, because it acts like any other word from the prompt and it is possible that it will not even be used when generating.
The typical thing to put a word but it doesn't really appear in the image.
I suggest you see more information about lora and how stable diffusion actually uses it. (Stable Diffusion or any other, I guess)
Note: If there is no tag or you do not want to use one from the list, you can use the file name itself as a tag
So if it doesn't have a tag, what you should put in the prompt (this info is what Stable Diffusion itself recommends when you use lora)
<lora:fileName:Power> tag/FileName
Option 2 (no tag): <lora:more_details:Power> more_details
<lora:fileName:Power> This is normal and depending on the configuration you have, it is possible not to use the file name since in Automatic1111 you have 2 options to call the lora.
tag: Normally you use the tag that comes with the lora and choose if there is more than 1 tag.
If it does not have a tag, you put the file name again
────
For this lora, it doesn't seem like he needs much.
With 1 tag it is the minimum to activate the lora 100%.
So that you understand it in broad strokes.
It's like a person missing an arm.
Yes, it is the person, but not the whole person.
I tested it with a lot of model. This is insanely good, great work thanks :)
🦋 Butterflies. 🦋 Butterflies everywhere. Is there a good way to use this and not get butterflies all over the image? My negative prompt skills seem lacking in getting results here.
Mine is filled with birds. Swarms of birds.
Will you update this for use in SDXL?
can't be updated, needs to be redone :)
I use StableDiffusion directly in Google Colab.
With Hugging Face I use:
pipe = StableDiffusionPipeline.from_pretrained( .......
Then I run the prompt
images = pipe(prompt,.....
How can I load something from Lora to use it this way without using webUi?
you may use comfy UI to use loras
Sorry for the stupid question but how this pipe prompts work? Any Space there or article that can make me understand?
@StartAI what do you mean by pipe prompts?
Do you mean to use models using pipes or do you want to loop prompts?
@sunatte1 Just saw this that you wrote: "Then I run the prompt
images = pipe(prompt"
@StartAI please share your complete code with me at [email protected], I will correct it for you
This is a great Lora, but it seems to disable my Lycoris models when I use it, does anybody know why that might be??
And when I say 'disable' I mean it makes it so I literally cant even re-add any lycoris to my prompt (and have it function) even after turning this Lora off again, I have to reload the UI or change models to fix it! Very weird, any ideas??
You most likely have some conflict with the extensions.
I guess you already know that. but Lycoris uses a different directory.
But just in case:
LyCoris: ...\models\LyCORIS
LoRa: ...\models\Lora
Buddy, you save my life.
Latent Hires. fix always changes the image composition too much because it only work over 0.4. This LORA is a good alternative in this situation.
This Lora does added more details to my image. However, it also makes my image look "dirtier" if you know what I mean.
I tested it with absolutereality, probably works better with non-realism image generation.
I'm sucha newbie dummy. Can this work with img2img? I'm playing around with the weights and at best, it'll create a similar character to my image (text-wise, but not visually), but also turned the other way/angle/etc.
I can't for the life of me... get the same picture.. just with more detail.
It does, yes. You'll still have to get the prompt you need for the image you want, and use the image itself as a base, then adjust the weight how you need it
I'm getting a huge performance boost when prompting this: "<lora:more_details:1> <lyco:more_details:1>" like 6 sec. instead of 20 sec. only works if lyco is 1 and im getting the exact same image without lyco. is this commonly known?
For real? I'd love to test this out - Could you please share your sampling method+base settings?
Круто!!!
Great! Brings pleasant little things into every Prompt!
Makes most males, female, needs some tweaking!
If you use it with EpicPhotogasm instead of Dreamshaper8 you will avoid this problem.
very good.
this is frustrating, what is the trigger word?
It's a Lora, just add the lora to the prompt and weight it.
@Gunn3r71 how do you go abt that?
<lora:more_details:1>
add it at the end of your positive prompt
@Gunn3r71 If you go to your LoRA tab in the WebUI, you can click the LoRA you want to add and it'll add the word into the positive prompt. Then adjust the "1" to what you prefer.
Details
Files
more_details.safetensors
Mirrors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
add_more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details_sdxl.safetensors
more_details.safetensors
Add More Details - Detail Enhancer.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
add_detail.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
01.Add more_details.safetensors
30.safetensors
more_details.safetensors
addDetails.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
moredets.safetensors
more_details.safetensors
More_Details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
zaddmdeta.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_xijie.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
AddMoreDetails.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
add_detail2.safetensors
more_details.safetensors
details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
8a7bacb4201cdbf68457f7c141f72704.safetensors
more_details.safetensors
941e0048-032b-40e4-88e7-b38fae18cb61.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
ddmrdtls.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
ddmrdtls.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
moredetails.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
Details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_detail.safetensors
more_details.safetensors
more_details.safetensors
more_details-Lora.safetensors
more_details.safetensors
Add More Details.safetensors
more_details.safetensors
more_details.safetensors
D9CF2F88DEC53A8DD8C09ABA2B1D6796.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
add_more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
Add More Details - Detail Enhancer Tweaker (细节调整) LoRA.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
fdc36a0d-b2f5-4c26-a11c-49284a92d964.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details_enhancer.safetensors
more_details.safetensors
more_details.safetensors
lora.safetensors
add_detail.safetensors
style_enhanced_details_sdxl.safetensors
more_details.safetensors
more_details.safetensors
more_details.safetensors
more_details.fp16.safetensors
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.








