Instructions to use takuma104/lora-test-text-encoder-lora-target with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use takuma104/lora-test-text-encoder-lora-target 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("takuma104/lora-test-text-encoder-lora-target") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 88f9163812ba0b2c7ac44ffbcd162dabba76574e35e8a5cef2f144765c68793c
- Size of remote file:
- 4.5 MB
- SHA256:
- 8fbd97ee1fd5c71dd7946e3f95dbb85811b449f86758de5e11158395d223cb49
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