Instructions to use IsaacAkintaro/household_diffusion_tutorial_output_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/household_diffusion_tutorial_output_v3 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_v3", 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 History
-
Epoch 49
Verified signature6808347 -
Epoch 44
Verified signature1375e6a -
Epoch 39
Verified signatureb0e40cb -
Epoch 34
Verified signature9cb1414 -
Epoch 29
Verified signature9ca5b89 -
Epoch 24
Verified signatureabb8441 -
Epoch 19
Verified signaturebfb2eca -
Epoch 14
Verified signaturedd5b20c -
Epoch 9
Verified signature3c8649c -
Epoch 4
Verified signature1f4f918