Instructions to use LTL07/PSEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LTL07/PSEC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LTL07/PSEC", 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
Ctrl+K
- Pretrain_OfflineMetadrive-easydense-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-easymean-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-easysparse-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-harddense-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-hardmean-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-hardsparse-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-mediumdense-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-mediummean-v0_ddpm_lora_
- Pretrain_OfflineMetadrive-mediumsparse-v0_ddpm_lora_
- 8.2 kB