Instructions to use Kinimoro/R.Mira with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kinimoro/R.Mira 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kinimoro/R.Mira") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
R_Mira

- Prompt
- -
Model description
Krea 2 Identity LoRA
A LoRA trained for use with Krea 2 to reproduce a specific visual identity and facial characteristics.
Usage
This LoRA is intended for image generation with Krea 2.
Recommended workflow:
Load the LoRA with your Krea 2 workflow. Start with a moderate LoRA strength and adjust according to the desired result. Results may vary depending on the prompt, model version and generation settings. Important
This model was trained on images of a real adult person.
Do not use this LoRA to create or distribute sexual or otherwise intimate depictions of a real person without their explicit consent.
Respect applicable laws, platform rules, privacy rights, personality rights and the rights of the original image creators.
No training images or generated example images are included in this repository.
Disclaimer
This model is provided for research and experimentation purposes. The uploader does not grant any rights to the identity, likeness, name, photographs or other intellectual property of the person represented by the model.
Users are responsible for ensuring that their use of this model complies with applicable laws and the terms of the platforms on which generated content is created or shared.
Model Details Base model: Krea 2 Type: LoRA Subject: Real adult person Example images: None Training images: Not included
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