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0000000000000000000000000000000000000000..7ee20aaafc5faf8e067e7c8374f741ee79d87c1f --- /dev/null +++ b/ER0S-GASM-LORAS/selfie/model/config_lora-20240812-031129.toml @@ -0,0 +1,59 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +cache_latents_to_disk = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +gradient_checkpointing = true +huber_c = 0.1 +huber_schedule = "snr" +learning_rate = 1.0 +logging_dir = "/workspace/SL-DATASET/log" +loss_type = "l2" +lr_scheduler = "cosine" +lr_scheduler_args = [] +lr_scheduler_num_cycles = 1 +lr_scheduler_power = 1 +max_bucket_reso = 2048 +max_data_loader_n_workers = 0 +max_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +metadata_author = "m1nd3xpand3r" +metadata_description = "Just a few test to see how it looks for better train" +metadata_title = "st3phl0v3-selfie" +min_bucket_reso = 256 +mixed_precision = "fp16" +multires_noise_discount = 0.2 +multires_noise_iterations = 8 +network_alpha = 32 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +no_half_vae = true +noise_offset = 0.0357 +noise_offset_type = "Original" +optimizer_args = [ "decouple=True", "weight_decay=0.5", "betas=0.9,0.99", "use_bias_correction=False",] +optimizer_type = "Prodigy" +output_dir = "/workspace/SL-DATASET/model" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0" +prior_loss_weight = 1 +resolution = "1024,1024" +sample_prompts = "/workspace/SL-DATASET/model/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +scale_weight_norms = 1 +seed = 12345 +text_encoder_lr = 1 +train_batch_size = 4 +train_data_dir = "/workspace/SL-DATASET/img" +unet_lr = 1 +xformers = true diff --git a/ER0S-GASM-LORAS/selfie/model/config_lora-20240812-031457.toml b/ER0S-GASM-LORAS/selfie/model/config_lora-20240812-031457.toml new file mode 100644 index 0000000000000000000000000000000000000000..119972a44f189debadb0374afb2488dd728443ef --- /dev/null +++ b/ER0S-GASM-LORAS/selfie/model/config_lora-20240812-031457.toml @@ -0,0 +1,66 @@ +async_upload = true +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +cache_latents_to_disk = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +gradient_checkpointing = true +huber_c = 0.1 +huber_schedule = "snr" +huggingface_path_in_repo = "st3phl0v3-v3-EDGE-AI/" +huggingface_repo_id = "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" +huggingface_repo_type = "model" +huggingface_repo_visibility = "public" +huggingface_token = "TheMindExpansionNetwork/lora-training" +learning_rate = 1.0 +logging_dir = "/workspace/SL-DATASET/log" +loss_type = "l2" +lr_scheduler = "cosine" +lr_scheduler_args = [] +lr_scheduler_num_cycles = 1 +lr_scheduler_power = 1 +max_bucket_reso = 2048 +max_data_loader_n_workers = 0 +max_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +metadata_author = "m1nd3xpand3r" +metadata_description = "Just a few test to see how it looks for better train" +metadata_title = "st3phl0v3-selfie" +min_bucket_reso = 256 +mixed_precision = "fp16" +multires_noise_discount = 0.2 +multires_noise_iterations = 8 +network_alpha = 32 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +no_half_vae = true +noise_offset = 0.0357 +noise_offset_type = "Original" +optimizer_args = [ "decouple=True", "weight_decay=0.5", "betas=0.9,0.99", "use_bias_correction=False",] +optimizer_type = "Prodigy" +output_dir = "/workspace/SL-DATASET/model" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0" +prior_loss_weight = 1 +resolution = "1024,1024" +sample_prompts = 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Want to buy me coffee? (Buy a cup)

CyberRealistic XL

It took a while, but here is the SDXL version of CyberRealistic.
The criteria for this model are simplicity in usage and versatility. So, no complicated prompts (you can if you want it); simply unleash your imagination. Enjoy and have fun playing!

Rest assured, both CyberRealistic and CyberRealistic Classic (based on 1.5) will continue to receive updates and support as per usual.

Personal settings

Steps: > 25
Sampler: DPM++ SDE Karras / DPM++ 2M Karras / Euler A
VAE: is already Baked In
HiRes: 4x_NickelbackFS_72000_G/4xNMKD-Siax_200k

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The model has been further improved and redefined.

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Rebuild version incorporating some of the training used in other of my models.

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Some slight enhancements in hands etc. (though not flawless), along with various other minor and more significant improvements.

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DreamShaper XL - Now Turbo!

Also check out the 1.5 DreamShaper page

Check the version description below (bottom right) for more info and add a ❤️ to receive future updates.
Do you like what I do? Consider supporting me on Patreon 🅿️ to get exclusive tips and tutorials, or feel free to buy me a coffee ☕

Join my Discord Server

Alpha2 is a bit old now. I suggest you switch to the Turbo or Lightning version.
DreamShaper is a general purpose SD model that aims at doing everything well, photos, art, anime, manga. It's designed to go against other general purpose models and pipelines like Midjourney and DALL-E.

\"It's Turbotime\"

Turbo version should be used at CFG scale 2 and with around 4-8 sampling steps. This should work only with DPM++ SDE Karras (NOT 2M). You can use this with LCM sampler, but don't do it unless you need speed vs quality.
Sampler comparison at 8 steps: https://civitai.com/posts/951781
UPDATE: Lightning version targets 3-6 sampling steps at CFG scale 2 and should also work only with DPM++ SDE Karras. Avoid going too far above 1024 in either direction for the 1st step.

No need to use refiner and this model itself can be used for highres fix and tiled upscaling.
Examples have been generated using Auto1111, but you can achieve similar results with this ComfyUI Workflow: https://pastebin.com/79XN01xs

Basic style comparison: https://civitai.com/images/4427452

If you train on this, make sure to use DPM++ SDE sampler and appropriate steps/cfg.

Keep in mind Turbo currently cannot be used commercially unless you get permission from StabilityAI. Get a membership here: https://stability.ai/membership

You can use the Turbo version (not Lightning) as a non-Turbo model with DPM++ 2M SDE Karras / Euler at cfg 6 and 20-40 steps. Here is a comparison I made with some of the best non-Turbo XL models (with regular settings and turbo settings): https://civitai.com/posts/1414848
I have no idea why anyone would prefer 40 steps over 8, but you have the option.

Old description referring to Alpha 2 and before

Finetuned over SDXL1.0.
Even if this is still an alpha version, I think it's already much better compared to the first alpha based on xl0.9.
For the workflows you need Math plugins for comfy (or to reimplement some parts manually).
Basically I do the first gen with DreamShaperXL, then I upscale to 2x and finally a do a img2img steo with either DreamShaperXL itself, or a 1.5 model that i find suited, such as DreamShaper7 or AbsoluteReality.

What does it do better than SDXL1.0?

Old DreamShaper XL 0.9 Alpha Description

Finally got permission to share this. It's based on SDXL0.9, so it's just a training test. It definitely has room for improvement.

Workflow for this one is a bit more complicated than usual, as it's using AbsoluteReality or DreamShaper7 as \"refiner\" (meaning I'm generating with DreamShaperXL and then doing \"highres fix\" with AR or DS7).

Results are quite nice for such an early stage.

I might disable the comment section as I'm sure some people will judge this even if it's early stage. I also don't think this is on par with SD1.5 DreamShaper yet, but it's useless to pour resources into this as SDXL1.0 is about to be released.

Have fun and make sure to add a ❤️ to receive future updates.

Non commercial license is forced by Stability at the moment.

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Turbo version should be used at CFG scale 2 and with around 4-8 sampling steps. Should work with DPM++ SDE Karras (or Normal). Comparison of other samplers: https://civitai.com/posts/951781

Can be used for highres fix and tiled upscaling. Please check the examples.

If you train on this, make sure to use DPM++ SDE.

What's new in 2.1
Fixes a skin issue that sometimes occurred in v1 and v2. I used targeted adversarial learning for it.
The problem didn't affect SFW versions of the model, so I won't update that one.
It should have little to no effect on most images compared to v2, except other minor improvements on anime stuff apparently (which was totally collateral).

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Lightning version should be used at CFG scale 2 and with around 3-6 sampling steps. Should work with DPM++ SDE Karras (or Normal). It might work on other samplers, but please hold your judgement on anything that differs from the suggested settings.

Can be used for highres fix and tiled upscaling. Please check the examples.

If you train on this, make sure to use DPM++ SDE Karras at the correct target steps and cfg scale.

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SFW version of DSXL Turbo V2. It should be as safe as base SDXL if not a bit more.

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SFW version of DSXL Lightning. It should be as safe as base SDXL if not a bit more. Check details and instructions on the base Lightning versions.

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Turbo version should be used at CFG scale 2 and with around 4-8 sampling steps. Should work with DPM++ SDE Karras (or Normal). Comparison of other samplers: https://civitai.com/posts/951781

Can be used for highres fix and tiled upscaling. Please check the examples.

If you train on this, make sure to use DPM++ SDE.

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Turbo version should be used at CFG scale 2 and with around 4-8 sampling steps. Should work with DPM++ SDE Karras (or Normal). Comparison of other samplers: https://civitai.com/posts/951781

Can be used for highres fix and tiled upscaling. Please check the examples.

If you train on this, make sure to use DPM++ SDE.

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SFW version of DSXL Turbo. It should be as safe as base SDXL if not a bit more.

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[SDXL NSFW & SFW checkpoint]", + "description": "

UPD 09.08: V2 is out.
What new:
1) I've trained the model for additional ~26 535 steps on a completely new set of pictures.
2) Better style variety, way better natural language prompt understanding, better prompt adherence, better SFW.
3) BUT! Hardcore scenes are now less consistent (you can still get them right, but it will take more rerolls). I wanted to fix that, but honestly I got too exhausted from working on V2. Sorry guys, probably not the update you expected, but it's definitely the update the checkpoint needs. You can counter this by using some hardcore NSFW lora with a very low weight.

LUSTIFY!

A photoreal checkpoint, capable of creating decent porn scenes without any loras (although, with just a little help of your favourite NSFW concept lora it can get even more consistent). But that's not the only use - it can also create gorgeous SFW pics of objects/animals/fantasy creatures/you name it (you'll have to convince it tho - the model is horny).

\"LUSTIFY!\" understands both danbooru tags and natural language prompting, because it was trained like that. For V1 (not needed for V2) I recomend putting \"score_9\" tag into the begining of your prompt. Yes, the tag from the pony models. Yes, I am sure.

A couple of things I need to make clear before you download the checkpoint:
1) All of my stuff is very opinionated. I create models mostly to suit my needs, my workflows, my prompting, etc.
2) Sometimes you can get bad hands and bad faces at distant shots. These are hard to fix with finetuning, but really easy with inpainting/adetailer. So, please, don't bother me with the complaints about this. Either adapt to the needs of this checkpoint, or use something else (spoiler, 99% of checkpoints suffer from that because of the limitations of this tech).
3) Everything I do is experimental, and I do a lot of dumb-crazy stuff that in theory shouldn't work. So it's to be expected that something, what used to work with other checkpoint for you, might not work with this one. Let me know if there are such things, and I'd see if I can do something about it.

Recomended parameters:
Sampler: DPM++ 2M SDE/DPM++ 3M SDE,
Scheduler: Exponential/Karras
Steps: 30
Cfg: 2.5-7.
Highres.fix: upscale by 1.4-1.5, denoising ~0.4
For the distant shots of people you probably wanna use highres.fix and/or adetailer.

Also, use reasonable positive/negative prompts, shizo prompting does more harm than good (with any SDXL model).

FAQ:
1. Q: Output is broken is Fooocus. A: Turn off \"Fooocus Enhance\" style.

Some tags that have a big visual impact with this model:

  1. Camera type tags: \"shot on Polaroid SX-70\", \"shot on Kodak Funsaver\", \"shot on GoPro Hero\", \"shot on Canon EOS 5D\", \"shot on Leica T\".

  2. Photography styles: \"analog photo\", \"glamour photography\", \"street fashion photography\".

  3. Lighting types: cinematic lighting, \"neon lighting\", \"soft lighting\", \"dramatic lighting\", \"low key lighting\", \"bright flash photography\", \"warm golden hour lighting\", \"radiant god rays\".

  4. Film types: \"Ilford HP5 Plus\", \"Lomochrome color film\", \"Fujicolor Pro\".

  5. Photographers: Alessio Albi, Martin Schoeller, Miles Aldridge, Oleg Oprisco, Tim Walker.

  6. Others: \"bokeh\", \"dreamy haze\", \"technicolor\", \"underexposed\".

Alternatively, you can give a read to this wonderful prompting guide by PromptGeek. It has A LOT of useful tips I didn't know about even after 2 years of using SD.

Work In progress:
Initially it started out as a mix of my personal unreleased SDXL finetune with such wonderful checkpoints as bigASP and Pyro's NSFW. Then I've finetuned this mix on a curated dataset of 1000 pics for aesthetic tweak.
The recipe was something like: 0.55*(my unreleased SDXL finetune)+0.45*(0.5*(bigASP)+0.5*(Pyro's NSFW)).
For V2 I've merged V1 with NatVis (20%) and then trained on new 1700 pics for additional 26 535 steps.

", + "allowNoCredit": false, + "allowCommercialUse": [ + "RentCivit", + "Image" + ], + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "Checkpoint", + "minor": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 28, + "cosmetic": null, + "stats": { + "downloadCount": 19033, + "favoriteCount": 0, + "thumbsUpCount": 1039, + "thumbsDownCount": 4, + "commentCount": 42, + "ratingCount": 0, + "rating": 0, + "tippedAmountCount": 7039 + }, + "creator": { + "username": "coyotte", + "image": "https://avatars.githubusercontent.com/u/116996266?v=4" + }, + "tags": [ + "sexy", + "porn", + "nude", + "base model", + "photo", + "woman", + "sex", + "blowjob", + "general use", + "erotic", + "nsfw", + "photorealisic" + ], + "modelVersions": [ + { + "id": 708635, + "index": 0, + "name": "v2.0", + "baseModel": "SDXL 1.0", + "baseModelType": "Standard", + "createdAt": "2024-08-09T11:43:41.299Z", + "publishedAt": "2024-08-09T17:34:32.878Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 28, + "description": "

1) I've trained the model for additional ~26 535 steps on a completely new set of pictures.
2) Better style variety, way better natural language prompt understanding, better prompt adherence, better SFW.
3) BUT! Hardcore scenes are now less consistent (you can still get them right, but it will take more rerolls). I wanted to fix that, but honestly I got too exhausted from working on V2. Sorry guys, probably not the update you expected, but it's definitely the update the checkpoint needs.
For V2 I've merged V1 with NatVis (20%) and then trained on new 1700 pics for additional 26 535 steps.

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Lightning version.

Recomended parameters:

  1. DPM++ SDE

  2. Karras / Exponential scheduler

  3. 4 Steps

  4. Cfg: 1-2.

  5. Highres.fix: upscale by 1.4, 2 steps, denoising ~0.4, upscale model \"nmkd siax\" or \"nmkd superscale\"

Due the nature of \"lightning\" models, this version might follow your prompts worse then the regular one. Also, I've noticed that the lighting type tags need more weight in this version, for example \"(neon lighting:1.3), (cinematic lighting:1.1)\".

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Initial release.

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"index": 4, + "name": "v1.0 ⚡LIGHTNING⚡", + "baseModel": "SDXL Lightning", + "baseModelType": "Standard", + "createdAt": "2024-07-12T18:07:35.629Z", + "publishedAt": "2024-07-13T10:20:37.106Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 28, + "description": "

Lightning version.

Recomended parameters:

  1. DPM++ SDE

  2. Karras / Exponential scheduler

  3. 4 Steps

  4. Cfg: 1-2.

  5. Highres.fix: upscale by 1.4, 2 steps, denoising ~0.4, upscale model \"nmkd siax\" or \"nmkd superscale\"

Due the nature of \"lightning\" models, this version might follow your prompts worse then the regular one. Also, I've noticed that the lighting type tags need more weight in this version, for example \"(neon lighting:1.3), (cinematic lighting:1.1)\".

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"name": "RealVisXL V4.0", + "description": "

Use Turbo models with DPM++ SDE Karras sampler, 4-10 steps and CFG Scale 1-2.5

Use Lightning models with DPM++ SDE Karras / DPM++ SDE sampler, 4-6 steps and CFG Scale 1-2

Please pay attention to the model file name, the part of the name after the underscore is the true version of the model.

The model is already available on Mage.Space (main sponsor)

You can also support me directly on Boosty.

RealVisXL Hugging Face Full Collection

It's important! Read it!
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

RealVisXL V5.0 Status (Updated: Aug 12, 2024):\n- Training Images: +2120 (V4.0: 3340)\n- Training Steps: +424k (V4.0: 672k)\n- Approximate percentage of completion: ~88%\n- Training Time: ~150.2h (V1.0 - V3.0: ~202h)

The model is aimed at photorealism. Can produce sfw and nsfw images of decent quality.

ᅠ

Recommended Negative Prompt:

(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth

or another negative prompt

ᅠ

Recommended Generation Parameters:
Sampling Steps: 15-30+
Sampling Method: DPM++ 2M Karras / or another

ᅠ

Hires Fix Parameters:

Upscaler: 4x-UltraSharp upscaler / or another

Denoising strength: 0.1-0.5

Upscale by: 1.1-1.5

ᅠ

Optional Parameters:

ENSD: 31337

ᅠ

This model is:

ᅠ

Huge thanks to the creators of these great models that were used in the merge.

DreamShaper XL1.0 by Lykon

Juggernaut XL by KandooAI

SDVN6-RealXL by StableDiffusionVN

TalmendoXL - SDXL Uncensored Full Model by talmendo

WyvernMix (1.5 & XL) by wier

Crystal Clear XL by WarAnakin

ProtoVision XL and DynaVision XL by socalguitarist

Cinemax Alpha | SDXL | Cinema | Filmic | NSFW by viakole

Imperfect portrait by MakeThemComeAliveAIArt

Jib Mix Realistic XL by J1B

LEOSAM's HelloWorld XL by LEOSAM

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