Instructions to use xFutureTechx/lost_and_found_2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/lost_and_found_2025 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/lost_and_found_2025", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 00efb281023decdd0ee0a5e9dbf968a7bb09cbafd95f421ee792e6c4ccd12aa0
- Size of remote file:
- 3.36 GB
- SHA256:
- 47ee3b5b89254b0720c78d15467c478209993e2c3286c0fe377a9578a407b8aa
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