Instructions to use Echoxwort/brad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Echoxwort/brad 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Echoxwort/brad") prompt = "A cinematic close-up of a futuristic cyborg named brad, with glowing neon circuits embedded in his chrome skin, standing in a rainy cyberpunk alleyway." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Echoxwort/brad

- Prompt
- A cinematic close-up of a futuristic cyborg named brad, with glowing neon circuits embedded in his chrome skin, standing in a rainy cyberpunk alleyway.

- Prompt
- A whimsical oil painting of a fluffy golden retriever named brad wearing a tiny top hat and monocle, hosting a tea party for squirrels in a sun-drenched forest.

- Prompt
- An epic wide shot of a weathered Viking warrior called brad, standing atop a jagged snowy cliff overlooking a stormy ocean with massive crashing waves.
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 brad to invoke the concept.
Samples
"A cinematic close-up of a futuristic cyborg named brad, with glowing neon circuits embedded in his chrome skin, standing in a rainy cyberpunk alleyway."
"A whimsical oil painting of a fluffy golden retriever named brad wearing a tiny top hat and monocle, hosting a tea party for squirrels in a sun-drenched forest."
"An epic wide shot of a weathered Viking warrior called brad, standing atop a jagged snowy cliff overlooking a stormy ocean with massive crashing waves."
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("Echoxwort/brad")
image = pipe("A cinematic close-up of a futuristic cyborg named brad, with glowing neon circuits embedded in his chrome skin, standing in a rainy cyberpunk alleyway.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Echoxwort/brad
Base model
krea/Krea-2-Raw

