Instructions to use starsdeep/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use starsdeep/pokemon-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("starsdeep/pokemon-lora") 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:
- 795997a411a2f6111dd5924d223ab70bfc0ab12a94bfc3473f0fba8a3fbcd684
- Size of remote file:
- 6.58 MB
- SHA256:
- 76fcb787a804fdc16c580d4efe6b1b9959a509c18a069cd4d84fe9741449c12d
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