Instructions to use erkam/sd-pokemon-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use erkam/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("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("erkam/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
- Xet hash:
- 591be4a3b554aae801b2a90bbb61f2516f0949957ffbef69c0d5fca4012a6352
- Size of remote file:
- 3.42 MB
- SHA256:
- 3043b5d39d0ffca8c1f520df83d979a44c725bfffcd4f361ef47a6e7aae627e7
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