Instructions to use Muapi/robocop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/robocop 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/robocop") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 197c0c4471b3ca7d9b8ed0f6b159e06ceef7e53d6f040b6e553e8319c7e5408f
- Size of remote file:
- 342 MB
- SHA256:
- f83704e1cdbe26b57e8ef4526971e1e9025d3129662f0059efbf218d36351390
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