Instructions to use tayar3/ckpt-1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tayar3/ckpt-1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tayar3/ckpt-1-0", 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:
- 262618b128a4d662a48ba8e2e11d17dbb4457f8bd387ae4c418a0f81fc9cbdbc
- Size of remote file:
- 1.36 GB
- SHA256:
- 10f77cab67f365d1d89e32e49030320a969950c57d1cea82dac910e1d91f1bb2
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