Instructions to use Muapi/punk-collage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/punk-collage 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/punk-collage") 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:
- a7eca808aa7dbb0a9fd9a4d9d2f0c476152308a974ba261834e4faf9b9eae5f0
- Size of remote file:
- 531 kB
- SHA256:
- 03e9ec776a783e9883cb476c86721bcb2a756256aa881b70bd412eba7532979e
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