Instructions to use stillerman/poke-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stillerman/poke-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stillerman/poke-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
| from torch import nn | |
| def get_activation(act_fn): | |
| if act_fn in ["swish", "silu"]: | |
| return nn.SiLU() | |
| elif act_fn == "mish": | |
| return nn.Mish() | |
| elif act_fn == "gelu": | |
| return nn.GELU() | |
| elif act_fn == "relu": | |
| return nn.ReLU() | |
| else: | |
| raise ValueError(f"Unsupported activation function: {act_fn}") | |