import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Jiahao-Wang/lingbot-va-robotwin-2task-blocks-stamp-step5000", torch_dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
LingBot-VA RoboTwin 2-Task Blocks/Stamp Step 5000
This is a LingBot-VA inference bundle post-trained on two RoboTwin 2.0 tasks:
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The model was initialized from the LingBot-VA base checkpoint and trained for 5000 optimizer steps with effective batch size 8.
Only was updated during post-training. , , and are copied from the LingBot-VA base checkpoint.
Usage
Use as .
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