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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 54294e32dbbb1e5f7fa0b4c1c9c8339e6373d9ef7b1c6fcddbb75de934e13da8
- Size of remote file:
- 47.4 MB
- SHA256:
- ff95fab9aecbebdd7f4e5da9da067bd3d591f0f4c06286c737dcb92090408abe
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