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:
- 80b3973da3e7135984fc46edf3b5276dde6ba19c5dae6431e06d4d1a9c2afc81
- Size of remote file:
- 2.13 GB
- SHA256:
- 9b7962d558b851fe7d98e2b02af4284b5b9d3b2f2424e54ac14ff8619113f988
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