Instructions to use dataautogpt3/ProteusSigma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusSigma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusSigma", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Delete training_state.pt
Browse files- training_state.pt +0 -3
training_state.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3846a059c06ea41e772cbbeefc0b722c3e471a2bcc01f58d218ddfd6d655c01
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size 1020
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