Instructions to use bailuyucha/ftryon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bailuyucha/ftryon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bailuyucha/ftryon", 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
Upload checkpoint-75000/random_states_2.pkl with huggingface_hub
Browse files
checkpoint-75000/random_states_2.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:5aa200e6f2471507d66f05904507a07340c4e6aa7674340e915a299fd79c4343
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size 15537
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