Instructions to use ifire/seethrough-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ifire/seethrough-weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ifire/seethrough-weights", 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 layerdiff3d/trans_vae/config.json from ifire/seethrough-weights: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/ifire/seethrough-weights/resolve/main/layerdiff3d/trans_vae/config.json
- Command line
-
hf download hf://ifire/seethrough-weights/layerdiff3d/trans_vae/config.json
-
curl -L -o config.json https://huggingface.co/ifire/seethrough-weights/resolve/main/layerdiff3d/trans_vae/config.json
139 Bytes
| { | |
| "_class_name": "TransparentVAE", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "_name_or_path": "24yearsold/seethroughv0.0.1_layerdiff3d" | |
| } | |