Instructions to use IsaacAkintaro/household_diffusion_tutorial_output_v4_bear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/household_diffusion_tutorial_output_v4_bear 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_v4_bear", 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
-
Upload DDPMPipeline
Verified signaturef43fd53 -
Epoch 44
Verified signature71656ff -
Upload DDPMPipeline
Verified signature10f81c8 -
Epoch 39
Verified signature3da4a4c -
Upload DDPMPipeline
Verified signature8597d88 -
Epoch 34
Verified signature00460d8 -
Upload DDPMPipeline
Verified signature85f5724 -
Epoch 29
Verified signaturea8d2771 -
Upload DDPMPipeline
Verified signature43f5b55 -
Epoch 24
Verified signature595e172 -
Upload DDPMPipeline
Verified signaturedafcc4a -
Epoch 19
Verified signaturea324e88 -
Upload DDPMPipeline
Verified signature1cb3ae3 -
Epoch 14
Verified signature44bf083 -
Upload DDPMPipeline
Verified signaturecb622f7 -
Epoch 9
Verified signatured1d7161 -
Upload DDPMPipeline
Verified signature67fb3d0 -
Epoch 4
Verified signature7467c3b -
initial commit
Verified signaturebc2dcfc