Instructions to use IsaacAkintaro/household_diffusion_tutorial_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/household_diffusion_tutorial_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("IsaacAkintaro/household_diffusion_tutorial_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
Epoch 0
Browse files
logs/train_example/events.out.tfevents.1721840736.12cc2e91d891.35.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:286902934e484da0c5860e28e2f39be95e38d1eb43fe2e2a2231f6e48684c4c0
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size 15582
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samples/0000.png
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