Instructions to use renee127/magic-cube with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use renee127/magic-cube with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("renee127/magic-cube", dtype=torch.bfloat16, device_map="cuda") prompt = "clrikt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
Hey renee127 👋, 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(renee127/magic-cube)`.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 🧨 Diffusers team.bbd4dcc
-
Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (0cd589fab6f45585cf4a6c61f28628db5ba4af13) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>fadef16
-
gave thanks to multimodal art
73f2068 -
Update README.md
6350913 -
Upload concept_images with huggingface_hub
5bb116e -
Upload with huggingface_hub
036f126 -
Upload the model Magic Cube
67d2aef -
initial commit
aec5f1e