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:
- d42fb8e73c8a23c6d81d0d7b6920543c143e3c2dcc24bfd6dc8f47cf6f0bfdd4
- Size of remote file:
- 888 kB
- SHA256:
- e0d1c5f2b05a027288270b3b89d617132185d2faef546c93079cd2b39928ccad
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