Instructions to use ChengYangYang/bpp-reading-pointer-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChengYangYang/bpp-reading-pointer-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("ChengYangYang/bpp-reading-pointer-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
Ctrl+K
- anchor_gap_ckpt
- anchor_gapaug_ckpt
- anchor_ssm_ckpt
- boundary_reader
- compose_ckpt
- demo_ckpt
- demo_ckpt_s1
- demo_ckpt_s10
- demo_ckpt_s2
- demo_ckpt_s3
- demo_ckpt_s4
- demo_ckpt_s5
- demo_ckpt_s6
- demo_ckpt_s7
- demo_ckpt_s8
- demo_ckpt_s9
- demo_ckpt_smoke
- demo_ckpt_wrist
- demo_ckpt_wrist_s1
- demo_ckpt_wrist_s10
- demo_ckpt_wrist_s2
- demo_ckpt_wrist_s3
- demo_ckpt_wrist_s4
- demo_ckpt_wrist_s5
- demo_ckpt_wrist_s6
- demo_ckpt_wrist_s7
- demo_ckpt_wrist_s8
- demo_ckpt_wrist_s9
- diffdemo_ckpt
- featpose_ckpt
- featpose_joint20k_ckpt
- featpose_joint_ckpt
- featpose_multi_ckpt
- gate1_runs
- keyframe_ckpt
- keyframe_ckpt_s2
- keyframe_ckpt_s3
- keyframe_ckpt_s4
- keyframe_ckpt_s5
- pfdiff_ckpt
- phase_ckpt
- pose_ckpt
- pose_ckpt_gen
- pose_ckpt_gen_dino
- posefirst_ckpt
- subgoal_ckpt_diff
- subgoal_ckpt_diff_s1
- subgoal_ckpt_diff_s10
- subgoal_ckpt_diff_s11
- subgoal_ckpt_diff_s2