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 amazing-logos-v2-batch-16.ckpt
Browse files
amazing-logos-v2-batch-16.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:151ea15fee54e625f89239e7990e01bdcc5e90ddcccf65bdabe86a4ebc8d3a43
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size 3851921368
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