Unconditional Image Generation
Diffusers
TensorBoard
Safetensors
English
DDPMPipeline
diffusion
image generation
unconditional
wsi
Instructions to use kaveh/wsi_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kaveh/wsi_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kaveh/wsi_generator", 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 49
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Epoch 30
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Epoch 20
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Epoch 10
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Epoch 0
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Epoch 29
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Epoch 20
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Epoch 0
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added files after epoch 0
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