Instructions to use Frogger40/mara2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Frogger40/mara2 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("Frogger40/mara2") prompt = "m4r4kr34, A highly realistic candid iPhone photo captures a young woman with beautiful, shoulder-length dark brown hair, smiling warmly directly at the camera. She is seated comfortably on a dark, black slatted public bench, leaning slightly forward in a relaxed, inviting posture. She is dressed in a casual yet stylish outfit: a fitted dark brown leather jacket worn over a crisp white button-down shirt, paired with loose-fitting, light grey wide-leg jeans. On her feet, she wears simple green flip-flop sandals. She is holding a white takeaway coffee cup with both hands, resting it near her lap. The setting is urban and architectural, positioned outside a classic European-style building with a light-colored stone facade (the number '28' is visible on the left). Behind her, a large, ornate window reflects the surrounding street scene, showing a glimpse of the building across the street and a blurred figure (a man in a light beige jacket) sitting inside, perhaps at a café table. The lighting is bright, soft natural daylight, giving the scene a warm, golden, and very approachable feel. The photo is framed in a medium close-up, capturing her from the waist up, and feels like a genuine, everyday lifestyle snapshot with realistic skin texture, subtle pores, and natural color grading" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 5,044 Bytes
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base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "m4r4kr342"
widget:
- text: "m4r4kr34, A highly realistic candid iPhone photo captures a young woman with beautiful, shoulder-length dark brown hair, smiling warmly directly at the camera. She is seated comfortably on a dark, black slatted public bench, leaning slightly forward in a relaxed, inviting posture. She is dressed in a casual yet stylish outfit: a fitted dark brown leather jacket worn over a crisp white button-down shirt, paired with loose-fitting, light grey wide-leg jeans. On her feet, she wears simple green flip-flop sandals. She is holding a white takeaway coffee cup with both hands, resting it near her lap. The setting is urban and architectural, positioned outside a classic European-style building with a light-colored stone facade (the number '28' is visible on the left). Behind her, a large, ornate window reflects the surrounding street scene, showing a glimpse of the building across the street and a blurred figure (a man in a light beige jacket) sitting inside, perhaps at a café table. The lighting is bright, soft natural daylight, giving the scene a warm, golden, and very approachable feel. The photo is framed in a medium close-up, capturing her from the waist up, and feels like a genuine, everyday lifestyle snapshot with realistic skin texture, subtle pores, and natural color grading"
output:
url: sample_0.png
- text: "m4r4kr34 A confident 23-year-old woman with black hair, soft lighting, sitting in a cafe, sunny morning, photrealistic"
output:
url: sample_1.png
---
# Krea 2 LoRA — Frogger40/mara2
<Gallery />
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 `m4r4kr342` to invoke the concept.
## Samples

> *"m4r4kr34, A highly realistic candid iPhone photo captures a young woman with beautiful, shoulder-length dark brown hair, smiling warmly directly at the camera. She is seated comfortably on a dark, black slatted public bench, leaning slightly forward in a relaxed, inviting posture. She is dressed in a casual yet stylish outfit: a fitted dark brown leather jacket worn over a crisp white button-down shirt, paired with loose-fitting, light grey wide-leg jeans. On her feet, she wears simple green flip-flop sandals. She is holding a white takeaway coffee cup with both hands, resting it near her lap. The setting is urban and architectural, positioned outside a classic European-style building with a light-colored stone facade (the number '28' is visible on the left). Behind her, a large, ornate window reflects the surrounding street scene, showing a glimpse of the building across the street and a blurred figure (a man in a light beige jacket) sitting inside, perhaps at a café table. The lighting is bright, soft natural daylight, giving the scene a warm, golden, and very approachable feel. The photo is framed in a medium close-up, capturing her from the waist up, and feels like a genuine, everyday lifestyle snapshot with realistic skin texture, subtle pores, and natural color grading"*

> *"m4r4kr34 A confident 23-year-old woman with black hair, soft lighting, sitting in a cafe, sunny morning, photrealistic"*
## Use it with diffusers
```py
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("Frogger40/mara2")
image = pipe("m4r4kr34, A highly realistic candid iPhone photo captures a young woman with beautiful, shoulder-length dark brown hair, smiling warmly directly at the camera. She is seated comfortably on a dark, black slatted public bench, leaning slightly forward in a relaxed, inviting posture. She is dressed in a casual yet stylish outfit: a fitted dark brown leather jacket worn over a crisp white button-down shirt, paired with loose-fitting, light grey wide-leg jeans. On her feet, she wears simple green flip-flop sandals. She is holding a white takeaway coffee cup with both hands, resting it near her lap. The setting is urban and architectural, positioned outside a classic European-style building with a light-colored stone facade (the number '28' is visible on the left). Behind her, a large, ornate window reflects the surrounding street scene, showing a glimpse of the building across the street and a blurred figure (a man in a light beige jacket) sitting inside, perhaps at a café table. The lighting is bright, soft natural daylight, giving the scene a warm, golden, and very approachable feel. The photo is framed in a medium close-up, capturing her from the waist up, and feels like a genuine, everyday lifestyle snapshot with realistic skin texture, subtle pores, and natural color grading", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```
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