Instructions to use SJTU-DENG-Lab/LatentUM-Decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SJTU-DENG-Lab/LatentUM-Decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SJTU-DENG-Lab/LatentUM-Decoder", 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
- Xet hash:
- 8f7fe516df5e3efcf62e6090e091d2e99f87877e0a958698b977e3115fa1a9e6
- Size of remote file:
- 4.93 GB
- SHA256:
- 7613dc5cd8b89ddd47783feb0b55af3919429137e96673250dda75ff4933d104
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