Instructions to use SimonJonsson1999/test_lora_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimonJonsson1999/test_lora_decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinsky-community/kandinsky-2-2-decoder", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SimonJonsson1999/test_lora_decoder") 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:
- 0249a9d17c329d381aa89c7c79c542f5c72f8abea16bb093b69b93f70f3c22a9
- Size of remote file:
- 14.3 kB
- SHA256:
- c9986c932a2a826f85ce126c53cc75c32b71e075354beae394a977b39b6f1c7d
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