Instructions to use IsaacAkintaro/bear_normalize_-1_1_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/bear_normalize_-1_1_v2 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_v2", 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.1723153362.bear-pg0208u31a.2993284.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:04be524585b420647b53a4e4a9933a3893d3e3dd417d83546009fd434473b44c
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size 350272
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samples/0004.png
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