Instructions to use Muapi/street-tones with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/street-tones 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/street-tones") 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:
- 61b0664b7c39ff020732c6e6258594337c2b1808bf3afca6efc1872af7598eb1
- Size of remote file:
- 285 kB
- SHA256:
- 8ba20f6fb0cfed613847c4eb755b3783aaa26cf314a5b9d8636de65f2c8cf416
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