Instructions to use creatoryoon/tr4_batch64_15000_mixed_precision_fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatoryoon/tr4_batch64_15000_mixed_precision_fp16 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/tr4_batch64_15000_mixed_precision_fp16", 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-4000/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9cce6fcaac295a8d70bb949f57ed666f9749d309a51befec8ed207ea1fc30bb1
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size 14408
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