Instructions to use yuyang-cloud/inter_ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuyang-cloud/inter_ckpts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yuyang-cloud/inter_ckpts", 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
- SDv1.5mv-rawbox_1_bevsegmap
- SDv1.5mv-rawbox_2_hdmap_canvas
- SDv1.5mv-rawbox_3_hdmap_canvas_occrender_occ3d
- SDv1.5mv-rawbox_4_hdmap_canvas_occrender_nusoccupancy
- occ_rawbox_100_100_16_v1_triplane_mask_map
- occ_rawbox_100_100_16_v2_hdmap_clip
- occ_rawbox_100_100_16_v3_hdmapv2_t5
- occ_rawbox_100_100_16_v3_hdmapv2_t5_epoch600
- occ_rawbox_100_100_16_v3_hdmapv2_t5_epoch630
- occ_rawbox_100_100_16_v4_hdmapv3_t5_epoch128
- vae
- vae_50_50_16_8
- x-scene-occ-hdmap
- x-scene-occ-nomap
- x-scene-occ
- 1.52 kB