Instructions to use Reversorie/v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Reversorie/v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Reversorie/v2") prompt = "fabric pattern of small flowers" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0a0ecb033aafffea772f0fc7ff2c0a71f539bc1e7e16f4265de62f978780e8d1
- Size of remote file:
- 3.49 MB
- SHA256:
- f6cc98a04e55b89dd702659bb3bd3ad1bd1cc13c07c15a4e7fc729e935153197
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