Instructions to use Matt444455/anka123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matt444455/anka123 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/anka123") prompt = "A majestic white tiger lounging in a neon-drenched cyberpunk alleyway under a holographic rain, 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/anka123

- Prompt
- A majestic white tiger lounging in a neon-drenched cyberpunk alleyway under a holographic rain, anka123, cinematic lighting, 8k resolution.

- Prompt
- A miniature white tiger exploring a giant's library, climbing over ancient leather-bound books and inkwells, anka123, soft whimsical sunlight, macro photography.

- Prompt
- A celestial white tiger formed from shimmering stardust and nebulae, leaping across a cosmic void of floating crystals, anka123, ethereal dreamscape, vivid galactic colors.
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 majestic white tiger lounging in a neon-drenched cyberpunk alleyway under a holographic rain, anka123, cinematic lighting, 8k resolution."
"A miniature white tiger exploring a giant's library, climbing over ancient leather-bound books and inkwells, anka123, soft whimsical sunlight, macro photography."
"A celestial white tiger formed from shimmering stardust and nebulae, leaping across a cosmic void of floating crystals, anka123, ethereal dreamscape, vivid galactic colors."
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/anka123")
image = pipe("A majestic white tiger lounging in a neon-drenched cyberpunk alleyway under a holographic rain, 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/anka123
Base model
krea/Krea-2-Raw

