Instructions to use deepgoyal20/lora13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal20/lora13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepgoyal20/sd256", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("deepgoyal20/lora13") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 35644abe4419c999a45d0a05d5c7a4708e8b321addb0e41e02c583687d8d0a74
- Size of remote file:
- 6.59 MB
- SHA256:
- c7f112c88a0a42ad151deba16f94e7e39af121ececa8785fd7ae5532b016b061
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