Instructions to use 12345testing/ech_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 12345testing/ech_model 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("12345testing/ech_model") prompt = "a photo of object12" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 47656805a9c9d84d99c07adb0044bf63fe7839a7ad61a567114fe870f064b977
- Size of remote file:
- 23.4 MB
- SHA256:
- 3ec22b936b670607d14d5e10f98aecacf2f7d34930ae94cafb1d84231202cbad
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