Instructions to use ryoppippi/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ryoppippi/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ryoppippi/output") prompt = "a photo of a0101" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 54c1f366fb5c2ff1ae4d36137361ca3565c590dc2d40f6ff8ca8301bc80e17a8
- Size of remote file:
- 388 kB
- SHA256:
- 5626c040f9900492249c04b0d074e570378408a71a7b726a9624fb78dfb26fa3
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