Instructions to use Saurabh4509/Model_45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saurabh4509/Model_45 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Saurabh4509/Model_45", 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
- Draw Things
- DiffusionBee
Upload 4 files
Browse files- checkpoint/optimizer.bin +3 -0
- checkpoint/random_states_0.pkl +3 -0
- checkpoint/scaler.pt +3 -0
- checkpoint/scheduler.bin +3 -0
checkpoint/optimizer.bin
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checkpoint/random_states_0.pkl
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oid sha256:dc639d38576f55a12297448de2477d8e46e55d98aea849656b744f3171061253
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checkpoint/scaler.pt
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oid sha256:af00b4a1d6f958e9aac32b8a85f495a006ab2769eab01b4b45246feb14c65a8f
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size 557
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checkpoint/scheduler.bin
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oid sha256:1336c29eee92cf2cb27af13cedbe300f8c7d41e289a78c855017d833e8c97a2f
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size 563
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