Instructions to use lyneeeeeeeee/RealGeneral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lyneeeeeeeee/RealGeneral with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lyneeeeeeeee/RealGeneral", 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
Commit History
-
Add comprehensive model card for RealGeneral
Verified signatureThis PR adds a comprehensive model card for RealGeneral, documented in the paper [RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models](https://huggingface.co/papers/2503.10406). It includes the appropriate `pipeline_tag` (`text-to-video`), `library_name` (`diffusers`), and `license` (`apache-2.0`). Additionally, it provides direct links to the project page and GitHub repository, a teaser image, and a basic usage example for the `CogVideoXPipeline`.c1ad05a
-
Upload folder using huggingface_hub
Verified signature60ac9aa -
Delete Canny2image-LoRA/scheduler.bin
Verified signature22aaca4 -
Delete Canny2image-LoRA/random_states_0.pkl
Verified signature6610f3a -
Upload folder using huggingface_hub
Verified signaturec528db4
-
Upload folder using huggingface_hub
Verified signature8d0fed8
-
initial commit
Verified signature02f3699