Instructions to use CompVis/ldm-super-resolution-4x-openimages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/ldm-super-resolution-4x-openimages with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/ldm-super-resolution-4x-openimages", 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
Can you provide a script for fine-tuning super resolution task?
#2
by xioacaibai - opened
How can I fine-tune the super resolution task? Can you provide a script for fine-tuning super resolution? Do I have to use diffuser to fine tune it?
(How do I get the original super resolution .ckpt file?)
That would be incredible.