Instructions to use yqi19/genie_envisioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yqi19/genie_envisioner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yqi19/genie_envisioner", 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
| ### Add your statistics here | |
| ### key: | |
| # {domain_name}_{joint / eef} | |
| # {domain_name}_delta_{joint / eef} | |
| # {domain_name}_state_{joint / eef} | |
| ### | |
| StatisticInfo = { | |
| "agibotworld_joint": { | |
| "mean": [ | |
| -1.2455877173776138, | |
| 0.7444988532599097, | |
| 0.7276085570616037, | |
| -0.9697965112684924, | |
| 0.6339293484631947, | |
| 1.2640398472759886, | |
| -0.0007876268094789704, | |
| 0, | |
| 1.3022833720950178, | |
| -0.7556787747644584, | |
| -0.8588525388272683, | |
| 0.8713104165671968, | |
| -0.593267192798959, | |
| -1.2104334810203448, | |
| -0.039674215368317174, | |
| 0 | |
| ], | |
| "std": [ | |
| 0.5337649373339123, | |
| 0.3512827954207858, | |
| 0.5619289513324849, | |
| 0.3960596038760223, | |
| 0.4907613118713761, | |
| 0.3500267611121078, | |
| 0.6416098814468049, | |
| 1, | |
| 0.5281823205736444, | |
| 0.35552909880550443, | |
| 0.5800864927957736, | |
| 0.4218060263276174, | |
| 0.5405150536418051, | |
| 0.38154597507953125, | |
| 0.6631348696564108, | |
| 1 | |
| ] | |
| }, | |
| "agibotworld_delta_joint": { | |
| "mean": [ | |
| -9.766088181273605e-05, | |
| 3.090411083824136e-05, | |
| 0.00023136312143181222, | |
| 0.00010585302039216115, | |
| -0.00010089331654164547, | |
| -8.746681816661666e-05, | |
| 0.00010540622871252697, | |
| 0, | |
| 0.00012408634365918038, | |
| -3.576562290439525e-05, | |
| -0.00030713803701884956, | |
| -0.00013385347542981373, | |
| 0.0001523998774032898, | |
| 9.73471804635824e-05, | |
| -0.00013746526925312227, | |
| 0 | |
| ], | |
| "std": [ | |
| 0.003415004769887699, | |
| 0.003445197588650923, | |
| 0.0028616769644099764, | |
| 0.004530422690302565, | |
| 0.004039506072450103, | |
| 0.00434275673541508, | |
| 0.0050539016521146014, | |
| 1, | |
| 0.004475033696088507, | |
| 0.004848226836311343, | |
| 0.0036240127159396177, | |
| 0.0060947910170755255, | |
| 0.005434041536560268, | |
| 0.0057392774135089095, | |
| 0.006396413634108065, | |
| 1 | |
| ] | |
| }, | |
| "agibotworld_state_joint": { | |
| "mean": [ | |
| -1.2455877173776138, | |
| 0.7444988532599097, | |
| 0.7276085570616037, | |
| -0.9697965112684924, | |
| 0.6339293484631947, | |
| 1.2640398472759886, | |
| -0.0007876268094789704, | |
| 0, | |
| 1.3022833720950178, | |
| -0.7556787747644584, | |
| -0.8588525388272683, | |
| 0.8713104165671968, | |
| -0.593267192798959, | |
| -1.2104334810203448, | |
| -0.039674215368317174, | |
| 0 | |
| ], | |
| "std": [ | |
| 0.5337649373339123, | |
| 0.3512827954207858, | |
| 0.5619289513324849, | |
| 0.3960596038760223, | |
| 0.4907613118713761, | |
| 0.3500267611121078, | |
| 0.6416098814468049, | |
| 120, | |
| 0.5281823205736444, | |
| 0.35552909880550443, | |
| 0.5800864927957736, | |
| 0.4218060263276174, | |
| 0.5405150536418051, | |
| 0.38154597507953125, | |
| 0.6631348696564108, | |
| 120 | |
| ] | |
| } | |
| } | |