Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use ajesteves/csestrela_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ajesteves/csestrela_lora 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ajesteves/csestrela_lora") prompt = "a photo of CSESTRELA dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b43cad72758054957846cc6c9760b026719eb87ccb6e83aff3a5800bbf1b5b05
- Size of remote file:
- 15.1 MB
- SHA256:
- 0b2116607d914a7fa9d42365cc67227785bd8a66d3de3c958aae7dfcf9e8d69c
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