Instructions to use PNW-GM/witcher3-velen-z-image-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PNW-GM/witcher3-velen-z-image-lora with PEFT:
Task type is invalid.
- Diffusers
How to use PNW-GM/witcher3-velen-z-image-lora 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PNW-GM/witcher3-velen-z-image-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e6a5a210cdb7d5f62d422316301caff73ccc6065c390ac761b2656f17e6219d
- Size of remote file:
- 1.27 GB
- SHA256:
- 373a65fc80c6a542960e3708dc4c87cf302d05b13e4699d4647cd02fbc2683e0
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