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
Credit to whoever this is: https://drive.google.com/drive/folders/1otqqXc0JVA0AlIfIgkWoMctgKXGJ1yyf Beleive it's Camellia Blossom's creator
3b5f2e8 - Xet hash:
- 95cf69aa4ab09527f1ba717e0c83aa036cefde37473debb475039123f0401c12
- Size of remote file:
- 2.18 GB
- SHA256:
- 370f002c103d44b87ab8f3abf62d6a44e347ead94f26fa791432913465f6322c
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