Instructions to use AcademiaSD/Krea-2-NF4-for-LoRA-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AcademiaSD/Krea-2-NF4-for-LoRA-Training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AcademiaSD/Krea-2-NF4-for-LoRA-Training", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 โ NF4 for LoRA training
NF4 (4-bit) version of Krea 2 Raw used by AcademiaSD LoRAlab Trainer Studio to train Krea 2 LoRAs on consumer GPUs. The trainer downloads it automatically.
These weights are a derivative of Krea 2 and are distributed under the same Krea 2 Community License. Read it before using the model or the LoRAs trained with it.
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Model tree for AcademiaSD/Krea-2-NF4-for-LoRA-Training
Base model
krea/Krea-2-Raw