Instructions to use tensorart/stable-diffusion-3.5-medium-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorart/stable-diffusion-3.5-medium-turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensorart/stable-diffusion-3.5-medium-turbo", 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
Benefit using Lora + finetuned model
#1
by Viewegger - opened
Hello,
thank you for making this public!
Could you please explain the rational behind using the lora together with finetuned model?
I would expect to use lora with the original model, but according to the example you provide you are using the lora with finetuned model...
Thank you!
Hello,
thank you for making this public!Could you please explain the rational behind using the lora together with finetuned model?
I would expect to use lora with the original model, but according to the example you provide you are using the lora with finetuned model...
Thank you!
There’s a typo. The Lora should work with the base model. Thanks for pointing out and sorry for the confusion
xy1993 changed discussion status to closed