Instructions to use JujoHotaru/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JujoHotaru/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("JujoHotaru/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
I love you all Lora, is there a way to upgrade to SDXL?
#1
by Andrewwwwww - opened
great.
Thank you for your interest. I'm considering XL support, but it is hard to train due to GPU specs...
Thank you for your interest. I'm considering XL support, but it is hard to train due to GPU specs...
Hi, we love your LoRAs too. And we have a few L4(24 GB vMem) VPS that can support it for several months.
If you are interested please contact: 47@nieta.art
We have supported another anime SDXL model: https://civitai.com/models/124189