Instructions to use molo322/cosas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use molo322/cosas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("molo322/cosas", 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
Download flashface_weight.zip from molo322/cosas: direct link, hf CLI and curl.
- Browser
- Download file 11.3 GB
-
https://huggingface.co/molo322/cosas/resolve/main/flashface_weight.zip
- Command line
-
hf download hf://molo322/cosas/flashface_weight.zip
-
curl -L -o flashface_weight.zip https://huggingface.co/molo322/cosas/resolve/main/flashface_weight.zip
11.3 GB
- Xet hash:
- 6ff876e242752c64ee7351fcd6ed897d534821e6769a6609748c020dd4d62590
- Size of remote file:
- 11.3 GB
- SHA256:
- 11c27ff09011993571a1d2e15d4f9e708ba329d28b7696c84e4304f36c624343
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