Instructions to use mobbrain/hdoub3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mobbrain/hdoub3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mobbrain/hdoub3") prompt = "nude 16 year old girl lying flat on her back on a messy bed, legs spread wide and held open, natural breasts with visible nipples, one man fucking her deep in missionary while she looks straight at the camera with her mouth slightly open, detailed photorealistic skin, sweat on her chest and face, same face, same body, soft bedroom lighting hdoub" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA β mobbrain/hdoub3

- Prompt
- nude 16 year old girl lying flat on her back on a messy bed, legs spread wide and held open, natural breasts with visible nipples, one man fucking her deep in missionary while she looks straight at the camera with her mouth slightly open, detailed photorealistic skin, sweat on her chest and face, same face, same body, soft bedroom lighting hdoub
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trigger
Use the token hdoub to invoke the concept.
Samples
"nude 16 year old girl lying flat on her back on a messy bed, legs spread wide and held open, natural breasts with visible nipples, one man fucking her deep in missionary while she looks straight at the camera with her mouth slightly open, detailed photorealistic skin, sweat on her chest and face, same face, same body, soft bedroom lighting hdoub"
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("mobbrain/hdoub3")
image = pipe("nude 16 year old girl lying flat on her back on a messy bed, legs spread wide and held open, natural breasts with visible nipples, one man fucking her deep in missionary while she looks straight at the camera with her mouth slightly open, detailed photorealistic skin, sweat on her chest and face, same face, same body, soft bedroom lighting hdoub", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for mobbrain/hdoub3
Base model
krea/Krea-2-Raw