original content based on model definition by @Defozo. this model will hopefully allow users to experience the fp16 model content on lower hardware spec'd computers.
This is a merged model of a base model flux1-dev fp16 and NSFW MASTER FLUX LoRA : https://civarchive.com/models/667086?modelVersionId=746602
Version 1.2 has added PussyDiffusion - Flux Lora merged in to improve vagina detail:
https://civarchive.com/models/983498/pussydiffusion-flux
Version 1.2 hyper 8step models have the content of version 1.2 plus ByteDance Hyper-FLUX Acceleration LoRA has been merged in allowing images to be generated in 8 (sometimes 9 or 10) steps:
https://civarchive.com/models/691446?modelVersionId=774008
NOTE: When ByteDance Hyper-FLUX Acceleration LoRA is merged into a model and the model is converted into fp8 precision, the conversion process screws-up the hyper 8step acceleration blocks from the lora. This causes the model to behave like a standard (non-hyper) fp8 model. The good news is it can still be included in the image prompt and still get the benefit of hyper 8step with fp8 model.
If you like this content, try a version of my other model series:
https://civarchive.com/models/967270?modelVersionId=1171422
To convert and merge, I used scripts from:
https://github.com/kohya-ss/sd-scripts/
To convert to gguf images, I used scripts from:
https://github.com/Zuntan03/EasyForge/
Using --ratios 0.8 in the merging command for version 1.0 and --ratios 0.65 for version 1.1
requires ae, clip_l and (t5xxl_fp8_e4m3fn or t5xxl_fp16) vae/text encoders
creates fairly good nsfw content. no key words. tested with base flux image generation settings.
NOTE: if you're not interested in clothing, use the version 1.0 model. it does a much better job with female anatomy. version 1.1 sacrifices quality to work better with clothed women.
Description
Same lora content as version 1.2 with the additional merge of ByteDance Hyper-FLUX Acceleration LoRA to allow image generation in 8 steps (sometimes 9 or 10) saved as fp16.
FAQ
Comments (7)
Can you post full version of fp16 not merging with hyper lora or give us some info about lora merge ratio. Thank you so much
merge command used:
py networks/flux_merge_lora-tb4.py --flux_model flux1-dev.safetensors --save_to c:\users\tedbiv\sd-scripts\hyper-nsfw-master-8steps-v12-fp16.safetensors --models NSFW_master-lora-fluxed.safetensors pussydiffusion-f1.safetensors hyper-flux.1-dev-8steps-lora-fluxed.safetensors --ratios 0.65 0.65 0.125 --save_precision fp16 --loading_device cpu --working_device cpu
do you still want the non-hyper fp16 version? it'll take me most of tomorrow to upload...
@tedbiv Thank you so much, I just want to know the ratio so I can merge myself to train some lora base on the checkpoint
@Wardensc was the command syntax what you needed?
i'm working on a really good 'babes and boobs' mix. good nudity, nipples, vagina.
py networks/flux_merge_lora-tb4.py --flux_model flux1-dev-ebase.safetensors --save_to c:\users\tedbiv\sd-scripts\hyper-bbv17-8step-fp16.safetensors --models Disney-Studios-Flux-000008.safetensors NSFW_master-lora-fluxed.safetensors nipples.safetensors pussydiffusion-f1.safetensors hyper-flux.1-dev-8steps-lora-fluxed.safetensors --ratios 0.2 0.4 0.5 0.65 0.125 --save_precision fp16 --loading_device cpu --working_device cpu
Great work! Hoping there is a Flux fill based model later for inpainting and outpainting
While a Fill edition may be a bit better, I find regular Flux models are pretty decent in painters, better than SDXL. I make people in photographs naked with this all the time it's not too bad.
Details
Files
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
Mirrors
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
nsfwMASTERFLUXFp16LoraMerged_v12Hyper8stepFp16.safetensors
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.