Instructions to use AltLuv/pokemon-text-to-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AltLuv/pokemon-text-to-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AltLuv/pokemon-text-to-image", 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
End of training
Browse files
lr_scheduler/lr_scheduler.pt
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optimizer/optimizer.pt
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unet/diffusion_pytorch_model.safetensors
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