Instructions to use Muapi/complex-robot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/complex-robot 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/complex-robot") 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:
- 3c3a92bff0a752dfaf6eaef37f7212b6bfe5b7e9d444c8d6992c80013e17db84
- Size of remote file:
- 656 kB
- SHA256:
- 526d9dea7909cffd3b03846511c75ac9a6faa41c737f05e0885810aa3398f98e
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