Instructions to use KarlSangwon/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KarlSangwon/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KarlSangwon/output", 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
Commit ·
c6b99e3
1
Parent(s): 94cc5f6
Epoch 4
Browse files
logs/train_unconditional/events.out.tfevents.1667857837.olab-4.940542.0
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unet/diffusion_pytorch_model.bin
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