模型介紹為中英雙語，中文使用者可以關閉翻譯。
所有範例圖片皆由AI生成。
All example images are generated by AI.
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PornMaster [Flux.2 Klein 9B] - image-editing
PornMaster [Flux2 Klein 9b base] t2i Workflow
PornMaster [Flux2 Klein 4B] High-resolution restoration Workflow
PornMaster [Flux.2 Klein 9B] - Anime to Realism Workflow
PornMaster [Flux2 Klein 9b kv] t2i Workflow
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cosplay:
Pornmaster anime to realistic - Klein+ZIT
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FIX:
PornMaster F2K 9B Nipple & Areola Fix
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使用英文提示詞的精準度會更高。
主要針對基礎模型中的NSFW主題進行改良，沒有強烈的改變原始基礎模型的風格。
可用於文生圖和圖片編輯，並且文生圖和圖片編輯功能皆已可以正常生成NSFW題材。
使用自然語言描述提示詞時效果較佳，使用”danbooru”方式的短標籤提示詞效果較差。
Flux.2 Klein 要生成良好的圖片需使用較長的自然語言句子來描述，並且使用專業的攝影術語時可以得到質感更好的圖片，例如:光圈、快門速度、色溫、色調等術語。
對於姿勢也需要詳細的描述，例如:左手和右手放置的位置、手臂和手肘和膝蓋是否可見、手指張開或是五指併攏、大腿或小腿是否可見，左腳和右腳是否可見。
編輯圖片時，如果你要轉動人物的臉部角度和改變表情時，請先使用"Nano Banano" 或是"Seedream"、"gpt image"進行編輯，flux2 kelin對於人物臉部角度的改變和表情的改變效果非常差。
當與NSFW的LORA一起使用時，LORA權重可從0.05開始測試然後逐漸增加權重。
建議使用” Turbo lora”，4步驟即可生成圖片，將CFG設定為1時負面提示詞不會生效，但生成圖片的速度較快，將CFG設定為2時負面提示詞會生效，但生成圖片的速度較慢。
如果不使用Turbo lora時，參數設定的方式請參考原版的”flux2 klein 9b base”。
注意:V2版本不需要使用Turbo lora。
使用Turbo LORA時:
CFG設定1，然後4步驟，品質較低速度較快。
CFG設定1.5，然後8步驟，皮膚紋理較真實。
編輯圖片時建議使用此設置，CFG設定2，然後4步驟。
可以使用基於Flux.2 Klein base 9b所訓練的人物lora。
Using English prompts will result in higher accuracy.
Primarily focused on improving NSFW themes in the base model, without strongly altering the original style of the base model.
It can be used for text-to-image generation and image editing, and both text-to-image and image editing can now properly generate NSFW content.
Using natural-language descriptive prompts yields better results, while short tag-style prompts in the “danbooru” format perform worse.
For Flux.2 Klein to generate high-quality images, longer natural-language sentences should be used for descriptions. Using professional photography terminology can further enhance image quality, such as aperture, shutter speed, color temperature, tone, and similar terms.
Poses also require detailed descriptions, for example: the placement of the left and right hands, whether the arms, elbows, and knees are visible, whether the fingers are spread or closed together, whether the thighs or calves are visible, and whether the left foot and right foot are visible.
When editing images, if you want to rotate the character's face or change their expression, please use "gpt image"、"Nano Banano" or "Seedream" first. Flux2 Kelin is very ineffective at changing the angle of the character's face and their expression.
When used together with NSFW LoRA models, it is recommended to start testing with a LoRA weight of 0.05 and then gradually increase the weight.
It is recommended to use the “Turbo lora,” which can generate images in just 4 steps.
When CFG is set to 1, negative prompts will not take effect, but image generation is faster.
When CFG is set to 2, negative prompts will take effect, but image generation is slower.
If Turbo LoRA is not used, please refer to the original “flux2 klein 9b base” for parameter settings.
Note: The V2 version does not require using a Turbo LoRA.
When using Turbo LoRA:
With CFG set to 1 and 4steps, lower quality but faster speed.
With CFG set to 1.5 and 8 steps, skin textures appear more realistic.
When editing images, it is recommended to use this setting: CFG setting 2, then step 4.
The character lora, trained on Flux.2 Klein base 9b, can be used.
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我的其他檢查站和Lora。
My other checkpoints and Lora.
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我已將模型上傳至runninghub。
I have uploaded the model to runninghub.
PornMaster_flux2_klein_9b_base_fp8_V1
https://www.runninghub.ai/model/public/2030515890512465922/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_base_fp8_V2
https://www.runninghub.ai/model/public/2030515880504856577/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_base_bf16_V3
https://www.runninghub.ai/model/public/2031377858077138946/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_base_fp8_V3
https://www.runninghub.ai/model/public/2031653325136990209/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_base_fp8_V4
https://www.runninghub.ai/model/public/2054800384882946049/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_base_bf16_V4
https://www.runninghub.ai/model/public/2060580562221486082/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_turbo_fp8_V4
https://www.runninghub.ai/model/public/2058566472678600706/?inviteCode=rh-v1304
PornMaster_flux2_klein_9b_turbo_bf16_V4
https://www.runninghub.ai/model/public/2065287629205229569/?inviteCode=rh-v1304
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text_encoders
· qwen_3_8b_fp8mixed.safetensors
vae
· or full_encoder_small_decoder.safetensors
模型許可：
本模型請在遵循 black-forest-labs 公司非商業授權 (FLUX Non-Commercial License) 下使用。
This model falls under the FLUX Non-Commercial License.
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不要問我如何安裝的問題與comfyui如何使用。
客製化lora:我的Telegram ID:@iamddtla0620
我的微信ID:iamddtla
我的line ID:iamddtla
時間寶貴，請直接說明來意，例如:訂製lora.
Do not ask me questions about how to install it or how to use ComfyUI.
Customized lora: My Telegram ID: @iamddtla0620
My WeChat ID: iamddtla
My Line ID: iamddtla
Time is precious, please state your intention directly, for example: customized LORA.
Description
這是"PornMaster_flux2_klein_9b_ base_bf16_V4"的turbo版本。
使用英文作為提示詞效果會比使用中文提示詞更好。
This is the turbo version of "PornMaster_flux2_klein_9b_base_bf16_V4".
Using English prompts will be more effective than using Chinese prompts.
vae
FAQ
Comments (17)
Hi, thanks for the Turbo bf16 version. It seems to respond a bit better to prompts (especially if I increase the CFG to 2). I tried previous versions and got nudes just by typing the word "breasts," that seems to have lessened a bit, although it's still present. What I'm not sure about is whether it accepts negative prompts, because it doesn't seem to.
模型无法理解让脚踝或者小腿穿着内裤
oh my god
牛逼啊 哥们 这个一致性和细节表现在图编辑的时候 保持的真叼
I leave here a download link to PornMaster V4 base + fast lora baked.
it was converted into ConvRot which make it 3x faster per generation.
all the credit go to source creator.
to creator if you read it please upload this version for the community.
Also for using this model you need node that support the loading https://github.com/BobJohnson24/ComfyUI-INT8-Fast
I installed this node by git clone into "custom node" dir in comfy. after doing so if comfy is open you need to restart to get the node in the list.
that's it. really amazing flow with high speed and quality. I am amazed it possible to run so fast. this method is a charm.
and I find using DDIM\simple. 4\8 steps is good.
Thank you, I have published the model.
ComfyUI natively supports INT8-ConvRot format now in native ComfyUI model loading nodes, such as Load Diffusion Model node.
@altoiddealer do you need a certain version?
@ogbtjyqat450 ComfyUI v0.27.0+ https://www.reddit.com/r/comfyui/comments/1uk6q5m/comfyui_v0270_now_officially_supports_convrot/
When I want to use it i get the following error: Unknown quantization format for layer double_blocks.0.img_attn.qkv
I am on the latest version of comfy and i am using the load diffusion model node to load it.
@chrisunimportant Same here
@chrisunimportant Whenever in doubt, just ask AI with your error message. It says : either your comfyui or your nodes arent up to date or you dont have ComfyUI-GGUF
同样的问题：Unknown quantization format for layer double_blocks.0.img_attn.qkv
30系显卡，最新comfyui，最新gguf，请问这是什么情况呢？in8版本
@lolmao500 Thanks for trying to help but everything is updated and on the latest version. I can run the in8 version of the normal Flux2Klein9b but for this one it does not work. AI doesn't really help in this case.
@sanyixianer XLATE:
Same problem: Unknown quantization format for layer double_blocks.0.img_attn.qkv
30 series GPU, latest ComfyUI, latest GGUF. What’s going on here? in8 version
@ogbtjyqat450 Hey I could solve the problem and I actually I just made a really stupid mistake: When I heard that comfy now has native support for int8 I thought I can just drop models in there and it should work... But that is only partially right. There are different types of int8 models and comfy does only understand some of them and this model is not one of those, that's why we got that error. You have to download the INT8-Fast nodes (available on comfy manager) and use the "Load diffusion model INT8 (W8A8)"-node to load the model (Just replace your "load diffusion model"-node with it).
@sanyixianer TRANSLATE
chrisunimportant
18小时前
@ogbtjyqat450 嘿，我解决了问题，实际上我只是犯了一个非常愚蠢的错误：当我听说 comfy 现在原生支持 int8 时，我以为我只要把模型放进去就能用……但事实只是部分正确。有不同类型的 int8 模型，而 comfy 只识别其中的一部分，这个模型不在其中，所以才会报错。你需要下载 INT8-Fast 节点（在 comfy manager 可用），然后用“Load diffusion model INT8 (W8A8)”节点来加载模型（只需把你原来的“load diffusion model”节点替换掉就行）。