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
- Xet hash:
- 329a0046f697afd5daa9ab2caab1b0302b2aa116b0cdeff91a33189311095a84
- Size of remote file:
- 1.08 kB
- SHA256:
- 3ac7a0b56099f95a7261cc1fa8dd8d00dfdb51409d2919f39899f8fc8463c803
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