Instructions to use IsaacAkintaro/household_diffusion_tutorial_output_v7_bear_normalize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/household_diffusion_tutorial_output_v7_bear_normalize 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_v7_bear_normalize", 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 4
Browse files
logs/train_example/events.out.tfevents.1723024066.bear-pg0208u31a.1025031.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:5531d13fe47b46940ef15b7df9067eeb0d92368de1b16627caa77615ea571256
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size 888933
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samples/0004.png
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