Instructions to use hohs/SiTH-diffusion-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hohs/SiTH-diffusion-2000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hohs/SiTH-diffusion-2000", torch_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
| { | |
| "_class_name": "CCProjection", | |
| "_diffusers_version": "0.20.0.dev0", | |
| "_name_or_path": "/data/hohs/diffusers_checkpoints/train_val_0123_pretrainxl_smpl+view+mask_2000_multiview_rand/20240404-002425/checkpoint-50000" | |
| } | |