Instructions to use noahinhf/sd-pokemon-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use noahinhf/sd-pokemon-model-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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("noahinhf/sd-pokemon-model-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-10000
- checkpoint-15000
- checkpoint-20000
- checkpoint-25000
- checkpoint-30000
- checkpoint-35000
- checkpoint-40000
- checkpoint-45000
- checkpoint-5000
- checkpoint-50000
- checkpoint-55000
- checkpoint-60000
- checkpoint-65000
- checkpoint-70000
- checkpoint-75000
- checkpoint-80000
- logs
- 1.52 kB
- 525 Bytes
- 842 Bytes
- 365 kB
- 364 kB
- 385 kB
- 3.29 MB xet