Instructions to use eightyonegens/MauraR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eightyonegens/MauraR 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("eightyonegens/MauraR") prompt = "Ultra-realistic cinematic photograph of a fit attractive ginger woman with medium sized breasts and pale skin posing on a wooden deck by poolside; wearing only a black bikini top and bottom showing her toned abs and pierced navel. She has long hair slim figure shot from low angle with anamorphic lens shallow depth of field dramatic golden hour backlighting volumetric haze film grain 8k detail photorealistic skin texture high dynamic range <lora:Maura4:1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
MauraR

- Prompt
- Ultra-realistic cinematic photograph of a fit attractive ginger woman with medium sized breasts and pale skin posing on a wooden deck by poolside; wearing only a black bikini top and bottom showing her toned abs and pierced navel. She has long hair slim figure shot from low angle with anamorphic lens shallow depth of field dramatic golden hour backlighting volumetric haze film grain 8k detail photorealistic skin texture high dynamic range <lora:Maura4:1>
Trigger words
You should use MauraR to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for eightyonegens/MauraR
Base model
krea/Krea-2-Raw