Instructions to use keisuke-26522/my-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keisuke-26522/my-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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("keisuke-26522/my-lora") 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
My LoRA Archive
Personal LoRA archive organized for Stable Diffusion WebUI / Forge.
- Total LoRA files: 1502
- Preview images: 1334
- Main base/model group: Illustrious
- Files are grouped by source/series folder where possible.
Preview Gallery
The sheets below are generated from the preview images stored next to the LoRA files. Each tile shows the preview image and the LoRA filename.
Notes
Some LoRA files do not have full metadata or individual preview images. Those are kept under _MISSING instead of being removed.
This repository is an archive/library. Check each LoRA folder for the corresponding .safetensors, .json, .metadata.json, and preview image when available.
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