Instructions to use creatoryoon/tr9_batch16_15000_mixed_precision_fp32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatoryoon/tr9_batch16_15000_mixed_precision_fp32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("creatoryoon/tr9_batch16_15000_mixed_precision_fp32", 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
Uploading random_states_0.pkl
Browse files
checkpoint-3000/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:dfd9ed9b3a404b5ae5d0571b5d8b4e6fab34d697c8e7ad7651e73f54caeff9cd
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size 14408
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