Instructions to use jsugg/ggm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jsugg/ggm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jsugg/ggm", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download GGM.ckpt from jsugg/ggm: direct link, hf CLI and curl.
- Browser
- Download file 2.61 GB
-
https://huggingface.co/jsugg/ggm/resolve/main/GGM.ckpt
- Command line
-
hf download hf://jsugg/ggm/GGM.ckpt
-
curl -L -o GGM.ckpt https://huggingface.co/jsugg/ggm/resolve/main/GGM.ckpt
2.61 GB
- Xet hash:
- 916e4ccf9d4f091fcd67caa3b1d923076ec9b233b9112cd4f26f66e459a38b7b
- Size of remote file:
- 2.61 GB
- SHA256:
- 9df5a7d20655dd3703ef57c08a7dee9f91dd8b214b46e272d5cd70d3fb2ea534
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