Unconditional Image Generation
Diffusers
TensorBoard
Safetensors
English
DDPMPipeline
text-generation-inference
Instructions to use hecool108/ct-p2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hecool108/ct-p2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hecool108/ct-p2", 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
Commit History
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Epoch 1
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Epoch 0
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Epoch 9
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Epoch 8
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Epoch 7
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Epoch 6
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Epoch 5
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Epoch 4
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Epoch 3
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Epoch 2
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Epoch 1
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Epoch 0
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