Waifu Diffusion - Beta 03
Reuploaded from Huggingface to civitai for enjoyment.
WD 1.5 Beta 3 is fine-tuned directly from stable-diffusion-2-1 (768), using v-prediction and variable aspect bucketing (maximum pixel area of 896x896) with real life and anime images. Given the broad range of concepts encompassed in WD 1.5, we expect it to serve as an ideal candidate for further fine-tuning, LoRA's, and other embedding applications. - [Notion.site]
Author's Notes
Model is good. Think of it like NAI when it first came out. It's a good way to kickstart a lot of finetuning right? Well you can just do that with WD 1.5 B3. - KaraKaraWitch
Aesthetic Models?
To be uploaded.
Installation
Download the 3 files.
Same deal how you install SD 2.1.
Use the magic sauce VAE
If you can't do that well uhhh... I guess try and google and figure it out? I think this could help.
Usage
Use the following "mastering" prompts for improved looks:
Positive Prompt:
(exceptional, best aesthetic, new, newest, best quality, masterpiece, extremely detailed, anime, waifu:1.2)Negative Prompt:
lowres, ((bad anatomy)), ((bad hands)), missing finger, extra digits, fewer digits, blurry, ((mutated hands and fingers)), (poorly drawn face), ((mutation)), ((deformed face)), (ugly), ((bad proportions)), ((extra limbs)), extra face, (double head), (extra head), ((extra feet)), monster, logo, cropped, worst quality, jpeg, humpbacked, long body, long neck, ((jpeg artifacts)), deleted, old, oldest, ((censored)), ((bad aesthetic)), (mosaic censoring, bar censor, blur censor)What can it do?
Model can do the following:
- Realistic (realistic, real life:1.2) In positive.
- Horny (The typical stuff, probably better with finetunes lol)
- Whatever you want to tune it with lol.
- Tuning is rather easy too. LoRA works (Kohya ones) and LyCORS (Tested LoCon and it works sooo yeah.)
What's new?
Fixed Text Encoder Training, so TE is actually trained now, give it a try if you're from Beta 2.
Loicense (License)
It's... Complicated.
TLDR: Just follow the Fair AI Public License 1.0-SD (https://freedevproject.org/faipl-1.0-sd/). If any derivative of this model is made, please share your changes accordingly. Special thanks to ronsor/undeleted (https://undeleted.ronsor.com/) for help with the license.
It does kinda go against the spirit of civitai but uhhh whatever lol.
How 2 Train a Drag- Waifu Diffusion
1. BLIP/BLIP2 and WD Tagger to provide booru tags and natural language captions to every image.
2. Apply Date gradient
3. Bucket πππππ½πππΎπΈ Aesthetic into Exceptional, Best, Normal & bad.
4. Add stars to Booru images & bucket em. (Masterpiece, Best, High, Medium, Normal, Low & Worst)
5. Train
6. ???
7. Profit.
How to Lycoris/Locon/LoRA train
KaraKaraWitch here, okay so here are some of my comments from inital trial runs with WD 1.5 B3 and some common pitfalls.
1. Use the VAE provided. Do not use the builtin model VAE.
2. Enable --v2 and --v_parameterization
3. Train as per usual
"Wait what that's it?!"
Yes. The Do not however that your final loss should hover around 0.3. Any lower (like 0.29) might indicate overfitting issues.
"Amongus sus"
I meannn I only did a couple of styles and it did work out like that soo...
Where the fp32 version?!
According to devs, there is no perceivable difference in terms of quality when using either fp16 or fp32. (Unless you use memory opts like xformers. Those will cause more bigger issues than saving at fp32.)
I want it to be Diffused! (Diffusers format)
See when salt uploads the thingy to HF lol
Sooo what's the point is this model?!
Like I said in the beginning:
> Think of it like NAI when it first came out. It's a good way to kickstart a lot of finetuning right? Well you can just do that with WD 1.5 B3.
It is recommended and encouraged to finetune and/or locon/lora it!
Description
The initial B3 release
FAQ
Comments (3)
There are also fine-tuned stylized variants of the model available already at https://huggingface.co/waifu-diffusion/wd-1-5-beta3 (for those interested)
Any suggestions to train out all realistic content ? I tried to add realistic tag to all images, it will spread realistic to the whole model, and from my test it will need a big dataset.
vae download?
Details
Files
wd-beta3-base-fp16.yaml
Mirrors
Old_Portraits.yaml
Mangled_Merge_V3.yaml
illuminatidiffusion_v1.1.yaml
URPM_2.1_V2.yaml
KitchenSink2nsfw.yaml
SD2.1_MilfShaper_v1.0(FP16).yaml
PXL8V1.yaml
ultraskin.yaml
graphic-art-1_1.yaml
djzGrimKnightsV21_0.yaml
Cthugha.yaml
ZphyrInsanity.yaml
PseudoFreedomMerge.yaml
wd15-beta2-halo-aesthetic.yaml
CharHelperV4.yaml
CharHelper Fine-Tuned.yaml
graphic-art.yaml
macarolus2.yaml
oxigien_v20_lite.yaml
oxigien_v20_Lite.yaml
SDArt_synesthesia768.yaml
ZphyrPortraits.yaml
ZphyrRemember.yaml
AllureAI_batch4_v03-ep220.yaml
SDArt_UnmythicalCreatures768.yaml
CharHelper_v1_ SDv2_1_768_step_3500.yaml
CharHelper_v2_ SDv2_1_768_step_8500.yaml
SDArt_Encapsulated768.yaml
pretty-girls-next-door-v5.1.yaml
pretty_girls_next_door_v6.0.yaml
KitchenSinkVer1.8L.yaml
rMadaSD21_v6.yaml
oxigien_v20_Epic.yaml
dragonportrait-sd21-768-v1.yaml
ArtiusV2.1.yaml
sticker-v1.yaml
PRMJ.yaml
yai-2.2.14.yaml
yai2.2.20.yaml
vector-art.yaml
concept-sheet.yaml
djzInkPunkV21.yaml
naturitize-SD2.1-768px.yaml
comodel2.yaml
clayitization-SD2.1-768px.yaml
food_crit-SD2.1-768px.yaml
wooditize-SD2.1-768px.yaml
CharHelperV3.yaml
3DMDT1.yaml
perpetual-v1-moon.yaml
pulp-vector.yaml
KitchenSink2safe.yaml
KitchenSink2safeFP16.yaml
djzDivineStatueV21.yaml
Ushio_Anime_V1.yaml
yai2.2.20.yaml
URPM_2.1_V1.yaml
realismEngine_v10.yaml
KitchenSinkVer1.8.yaml
pretty_girls_next_door_v9_0.yaml
dragonportrait-sd21-768-v2.yaml
UltraCmodel.yaml
yai-2.2.20-F.yaml
wd-beta3-base-fp16.yaml
SDArt_AliceInDiffusionLand768.yaml
SDArt_CosmicHorrors768.yaml
oxigien_v20_ultra.yaml
woolitize-SD2.1-768px.yaml
A-to-Zovya_RPG_Artist_Tools_21_V1.yaml
pulp-diffusion.yaml
classicnegative768px-v0.2.yaml
yai-2.2.14.yaml
YAI2.3.22.yaml
imagineV41_v10.yaml
BoW-config.yaml
SDArt_v1.yaml
SDArt_v2_768.yaml
pretty-girls-next-door-v1.yaml
pretty_girls_next_door_v2.yaml
Mangled_Merge_V2.yaml
SDArt_ChaosAndOrder768.yaml
pretty_girls_next_door_v7_0.yaml
pretty_girls_next_door_v8_0.safetensors.yaml
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.





