Instructions to use profpeng/blinkgloryhole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkgloryhole with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/blinkgloryhole") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 157461a493fdd09b14e9561ec8405c3aa1bbc584aa345cb485b4694832c0e22e
- Size of remote file:
- 153 MB
- SHA256:
- 12ba0799751de60db993f3959a37f6235f6fe388249379d3085b6c78b923ff37
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