Instructions to use 12345testing/echo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 12345testing/echo_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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("12345testing/echo_model") prompt = "a photo of echo amazon" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4c8265413f75e8465693610c414a1e1f0d9899ec4d019bbe1fccbb321e548975
- Size of remote file:
- 563 Bytes
- SHA256:
- a84fb1fc02dc9adb8c44beeab2c46fbc41e10a07e99dad3fcd85350ca2bda9d5
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