Instructions to use SleepMastger/fruit-picking-lingbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SleepMastger/fruit-picking-lingbot with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SleepMastger/fruit-picking-lingbot", 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
Download conditioning/text_embedding.pt from SleepMastger/fruit-picking-lingbot: direct link, hf CLI and curl.
- Browser
- Download file 4.2 MB
-
https://huggingface.co/SleepMastger/fruit-picking-lingbot/resolve/main/conditioning/text_embedding.pt
- Command line
-
hf download hf://SleepMastger/fruit-picking-lingbot/conditioning/text_embedding.pt
-
curl -L -o text_embedding.pt https://huggingface.co/SleepMastger/fruit-picking-lingbot/resolve/main/conditioning/text_embedding.pt
4.2 MB
- Xet hash:
- 814b171fec3213eb93ee66a4c41fb95a6d2aa5222deee423cb95e5b508dc1a5e
- Size of remote file:
- 4.2 MB
- SHA256:
- 6b46749f4c3abcc47c2b76d8685948790e548aa14e7fe770156e189113d3731e
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