Instructions to use layerdifforg/seethroughv0.0.2_layerdiff3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use layerdifforg/seethroughv0.0.2_layerdiff3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("layerdifforg/seethroughv0.0.2_layerdiff3d", 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 trans_vae/config.json from layerdifforg/seethroughv0.0.2_layerdiff3d: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/layerdifforg/seethroughv0.0.2_layerdiff3d/resolve/5f1e3c3ef427a3b1f6fa7208f5683899be2a4dba/trans_vae/config.json
- Command line
-
hf download hf://layerdifforg/seethroughv0.0.2_layerdiff3d@5f1e3c3ef427a3b1f6fa7208f5683899be2a4dba/trans_vae/config.json
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curl -L -o config.json https://huggingface.co/layerdifforg/seethroughv0.0.2_layerdiff3d/resolve/5f1e3c3ef427a3b1f6fa7208f5683899be2a4dba/trans_vae/config.json
139 Bytes
| { | |
| "_class_name": "TransparentVAE", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "_name_or_path": "24yearsold/seethroughv0.0.1_layerdiff3d" | |
| } | |