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
- Draw Things
- DiffusionBee
Credit to whoever this is: https://drive.google.com/drive/folders/1otqqXc0JVA0AlIfIgkWoMctgKXGJ1yyf Beleive it's Camellia Blossom's creator
3b5f2e8 - Xet hash:
- 4d22825812fafe6bad24b0be34b89bbc90051297f3580c0ab48fa4f5e03c6314
- Size of remote file:
- 2.13 GB
- SHA256:
- e4e01efb117c652f31dbfd0ceff33e44de687d5947be18b28db8f8eaf3cc6340
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