lora and LECO

These are complements: LECO extends LoRA's low-rank adaptation technique to enable selective concept erasure from diffusion models, whereas the base LoRA tool performs general fine-tuning, so they can be used sequentially or together for more controlled model customization.

lora
44
Emerging
LECO
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 14/25
Stars: 7,529
Forks: 501
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 324
Forks: 27
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About lora

cloneofsimo/lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

This tool helps artists, designers, and creatives quickly and easily adapt existing text-to-image AI models to generate images in a specific style or featuring particular characters or objects. You provide your base AI model and a small dataset of example images, and it outputs a tiny, shareable file that customizes the model's output to your desired aesthetic or subject. This is ideal for anyone looking to personalize generative AI for their creative projects without extensive technical knowledge.

generative-art digital-illustration character-design ai-artistry creative-content

About LECO

p1atdev/LECO

Low-rank adaptation for Erasing COncepts from diffusion models.

This tool helps AI artists and content creators refine their image generation by precisely controlling specific visual styles or elements. You provide an existing AI image generation model and define concepts you want to reduce, emphasize, or swap. The output is a modified version of your original model, allowing you to generate images with greater stylistic control, like removing a particular artist's style or adding features like cat ears.

AI Art Creation Image Generation Creative Control Diffusion Models Stylistic Editing

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