Instructions to use Likalto4/mammo_bs8_ga-8_GS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Likalto4/mammo_bs8_ga-8_GS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Likalto4/mammo_bs8_ga-8_GS", 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 text_encoder/pytorch_model.bin from Likalto4/mammo_bs8_ga-8_GS: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Likalto4/mammo_bs8_ga-8_GS/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Likalto4/mammo_bs8_ga-8_GS/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Likalto4/mammo_bs8_ga-8_GS/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a946a735e97cc7526b56bceea9ff2f4b55f57b4b3251fdf773e21ceaa442591e
- Size of remote file:
- 492 MB
- SHA256:
- 5ee9822f0948996a258db1d46991205a18cd9f77580ef5b298ff28c05db10607
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