Instructions to use fricklik/mtrin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fricklik/mtrin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fricklik/mtrin", 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
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
#3
by patrickvonplaten - opened
Hey fricklik π,
Your model repository seems to contain logic to load a feature extractor that is deprecated, which you should notice by seeing the warning:
transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn(
when running pipe = DiffusionPipeline.from_pretrained(fricklik/mtrin).This PR makes sure that the warning does not show anymore by replacing CLIPFeatureExtractor with CLIPImageProcessor. This will certainly not change or break your checkpoint, but onlymake sure that everything is up to date.
Best, the 𧨠Diffusers team.
patrickvonplaten changed pull request status to merged