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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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (2ee333fc08f5f943ceae6ad0cae8d4ac51a5b473) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6415238
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test
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