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", torch_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:
- 69169c82e9a19b0cc370a9d45d0922a5ec97282582a5608f53b8a6001180d708
- Size of remote file:
- 15.1 MB
- SHA256:
- eac46704311a064e7c3540183175f687c091b9a4e74fdbd0e6ed47b549c472b9
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