Instructions to use mrm8488/ddpm-ema-flower-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrm8488/ddpm-ema-flower-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrm8488/ddpm-ema-flower-64", 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
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📈 [TensorBoard logs](https://huggingface.co/mrm8488/ddpm-ema-flower-64/tensorboard?#scalars)
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📈 [TensorBoard logs](https://huggingface.co/mrm8488/ddpm-ema-flower-64/tensorboard?#scalars)
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> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488) with the support of [Q Blocks](https://www.qblocks.cloud/)
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