Instructions to use callgg/mochi-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/mochi-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("callgg/mochi-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:
- 024c1ef89bfcfc48357f713bcfe30d6a1453e660b6ba660a916b339919be2149
- Size of remote file:
- 920 MB
- SHA256:
- fecceadc048487f07cad99f6f5fbbf691f7385573d53cea2f06e461b3a9721ea
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