Instructions to use cptsl/MysticXXX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cptsl/MysticXXX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cptsl/MysticXXX") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f0f19fccdf4cac1be215e94dcb7becd165d09a9f1e4ce3af90fc71d827c9054b
- Size of remote file:
- 170 MB
- SHA256:
- d59e53af5c63ecf0dc95df6be53d3d35539b48a98855193bf0fd9ce111891df3
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