Instructions to use genmo/mochi-1-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use genmo/mochi-1-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("genmo/mochi-1-preview", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Genmo
How to use genmo/mochi-1-preview with Genmo:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
4090 vram 24 vs mac4 max 64gb
#20
by ruci4 - opened
"I'm trying to set up a workspace for video production and I'm wondering whether I should use a 4090 with 24GB or configure a Mac with 64GB. I know the 4090 is faster, but with only 24GB of RAM, will its performance be compromised?"
if it runs on the 4090 then that'll be much faster, doubt it will though, the weights are around 40gb.