Instructions to use tensorart/stable-diffusion-3.5-large-TurboX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorart/stable-diffusion-3.5-large-TurboX 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-large-TurboX", 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
- Draw Things
- DiffusionBee
How to use the quantized version
#2
by rene-hof - opened
I tried to use the model in InvokeAI and also ran it with the diffuser code you provided. In both cases, the full FP16 model is loaded.
Can you give any hints on how to use the model in quantized version?
Thanks in advance