PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
Open source
24 alternativesexamples/stable-diffusion-finetuning at main · LambdaLabsML/examples
vsalpaca-lora
examples/stable-diffusion-finetuning at main · LambdaLabsML/examples vs alpaca-lora
How do examples/stable-diffusion-finetuning at main · LambdaLabsML/examples and alpaca-lora compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | examples/stable-diffusion-finetuning at main · LambdaLabsML/examples | alpaca-lora |
|---|---|---|
| What it is | This repository includes examples and a guide for fine-tuning Stable Diffusion models. | Fine-tune LLaMA on consumer hardware with alpaca-lora and its LoRA training approach. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both examples/stable-diffusion-finetuning at main · LambdaLabsML/examples and alpaca-lora.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Open source
24 alternatives
LightlyTrain supports pretraining, fine-tuning, and distillation for computer vision models.
Open source
24 alternatives
This repository implements DreamBooth subject fine-tuning for Stable Diffusion using textual inversion.
Open source
24 alternatives
Hugging Face Accelerate launches and trains PyTorch models across devices and distributed configurations.
Open source
24 alternatives
P-tuning v2 is a deep prompt tuning strategy designed as an alternative to full model fine-tuning.
Open source
24 alternatives