Instructions to use EnD-Diffusers/lost_and_found with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/lost_and_found with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/lost_and_found", 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:
- 8b4c52aac4a9527999ede615d555ffd140fdce682aed5e9df2e3edbf4cfbd121
- Size of remote file:
- 6.81 GB
- SHA256:
- 7961a283f34f3672b9b53ddb1e7905a8b56bfd373c3aa5985502eb1e7a767022
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