Instructions to use lsmpp/kontextrefiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lsmpp/kontextrefiner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lsmpp/kontextrefiner", 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
AutoPipeline
The AutoPipeline is designed to make it easy to load a checkpoint for a task without needing to know the specific pipeline class. Based on the task, the AutoPipeline automatically retrieves the correct pipeline class from the checkpoint model_index.json file.
Check out the AutoPipeline tutorial to learn how to use this API!
AutoPipelineForText2Image
[[autodoc]] AutoPipelineForText2Image - all - from_pretrained - from_pipe
AutoPipelineForImage2Image
[[autodoc]] AutoPipelineForImage2Image - all - from_pretrained - from_pipe
AutoPipelineForInpainting
[[autodoc]] AutoPipelineForInpainting - all - from_pretrained - from_pipe