Instructions to use Dimitre/sd-pokemon-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dimitre/sd-pokemon-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Dimitre/sd-pokemon-model", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9fe621af23b932d3e24a468520865ffdb37184dc73d4feca0b86990abe6a176e
- Size of remote file:
- 1.72 GB
- SHA256:
- 804682dd832a57f3416179c17f79ed7b06ec4b69110fab6b6315f8e5f4ac8e66
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