Instructions to use Rand000mGuy/snapshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/snapshot with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baidu/ERNIE-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/snapshot") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4a432e1fc013f70f8b93d3d7090e690a137ea21943b7269a6568c6b28b64309d
- Size of remote file:
- 170 MB
- SHA256:
- 182d7f92475b8d7f792203127738d31270403e86e007fdc7792d324a3406e556
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