Instructions to use kipgin/krea2_raw_768_102_1280_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kipgin/krea2_raw_768_102_1280_lora 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kipgin/krea2_raw_768_102_1280_lora") prompt = "PixelCraft UI" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea-2 LoRA — PixelCraft UI
LoRA (rank 32, alpha 32) train trên Krea-2 Raw bằng ai-toolkit / diffusion_trainer.
- Trigger word:
PixelCraft UI - Steps: 1000, lr 1e-4, optimizer adamw8bit, bf16
- Resolutions: 768 / 1024 / 1280
Files
pytorch_lora_weights.safetensors— trọng số LoRAconfig.yaml— config train gốc
Cách dùng
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("kipgin/krea2_raw_768_102_1280_lora")
image = pipe("PixelCraft UI, a clean dashboard interface").images[0]
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