Instructions to use Matt444455/ank123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matt444455/ank123 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("Matt444455/ank123") prompt = "A futuristic cybernetic owl perched on a neon-lit skyscraper overlooking a rainy Tokyo cityscape, anka123, cinematic lighting, 8k resolution." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Matt444455/ank123

- Prompt
- A futuristic cybernetic owl perched on a neon-lit skyscraper overlooking a rainy Tokyo cityscape, anka123, cinematic lighting, 8k resolution.

- Prompt
- A vintage porcelain teacup overflowing with miniature colorful wildflowers in a sun-drenched English cottage garden, anka123, soft bokeh, macro photography.

- Prompt
- An ancient stone temple submerged in a deep turquoise ocean with glowing jellyfish floating around the ruins, anka123, ethereal atmosphere, hyper-realistic.
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 anka123 to invoke the concept.
Samples
"A futuristic cybernetic owl perched on a neon-lit skyscraper overlooking a rainy Tokyo cityscape, anka123, cinematic lighting, 8k resolution."
"A vintage porcelain teacup overflowing with miniature colorful wildflowers in a sun-drenched English cottage garden, anka123, soft bokeh, macro photography."
"An ancient stone temple submerged in a deep turquoise ocean with glowing jellyfish floating around the ruins, anka123, ethereal atmosphere, hyper-realistic."
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("Matt444455/ank123")
image = pipe("A futuristic cybernetic owl perched on a neon-lit skyscraper overlooking a rainy Tokyo cityscape, anka123, cinematic lighting, 8k resolution.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Matt444455/ank123
Base model
krea/Krea-2-Raw

