Instructions to use gaoxiao/ziyi-lora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gaoxiao/ziyi-lora1 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gaoxiao/ziyi-lora1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 86f2fc8cb0a5efb1afd2476645e120a590ef7cc86608041d3d9fc5a180b2fc06
- Size of remote file:
- 296 kB
- SHA256:
- c58db27b96d405b7fe9ab6410d172e251ab606228ce61fc845b2bdd8dbb77d40
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