Instructions to use pascalrascal777/eightsecondopened with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pascalrascal777/eightsecondopened with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pascalrascal777/eightsecondopened") prompt = "eightsecondopened" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 606e1c46837b6a079c770ad232fa2c2836d2acaa3f4da45e25e43f362f60c33c
- Size of remote file:
- 172 MB
- SHA256:
- 9d492f5ba9fd6606594e1ae15e4673fb8f192189a752ebc259054669f5d0cb47
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