Instructions to use ishicode/ddpm-low-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishicode/ddpm-low-control with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ishicode/ddpm-low-control", 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
Epoch 0
Browse files
logs/train_example/events.out.tfevents.1702328934.64a3da168fcd.183.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac4b1ab2184727235195ac15f7e7639a2a1167bd232c8a29d052c0d1542ae775
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size 7894
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samples/0000.png
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Git LFS Details
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Git LFS Details
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