Instructions to use IsaacAkintaro/bear_normalize_-1_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/bear_normalize_-1_1 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/bear_normalize_-1_1", 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 14
Verified signature7400b4e
-
Epoch 9
Verified signature7c9b653 -
Epoch 4
Verified signatureb6f6e65 -
Epoch 20
Verified signature2b10d44 -
Epoch 19
Verified signature74460fa -
Epoch 18
Verified signatureb2eb8f1 -
Epoch 17
Verified signature2d35aa0 -
Epoch 16
Verified signaturef39c778 -
Epoch 15
Verified signature78455fd -
Epoch 14
Verified signature5949d84 -
Epoch 13
Verified signature158d900 -
Epoch 12
Verified signature21252fa -
Epoch 11
Verified signature3d91955 -
Epoch 10
Verified signature2e9cbbe -
Epoch 9
Verified signature6ff2f21 -
Epoch 8
Verified signature05e3f8f -
Epoch 7
Verified signature185ee56 -
Epoch 6
Verified signaturec10b9e3 -
Epoch 5
Verified signaturec680cac -
Epoch 4
Verified signature991fe77 -
Epoch 3
Verified signaturee6558d5 -
Epoch 2
Verified signature72bcbf2 -
Epoch 1
Verified signatureadfc544