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:
- 7ba3696c2bddbdb0791336c8425b0d2393c70637be671d49a0fbebc239c41b23
- Size of remote file:
- 2.4 GB
- SHA256:
- 2c2b6eee61560aef78a0bd59e758c25dffdaba602d8541ed58138ceb8941eba6
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