Instructions to use logo-wizard/logo-diffusion-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use logo-wizard/logo-diffusion-checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("logo-wizard/logo-diffusion-checkpoint") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- c4bc1c094086176cca78a66f977fc64857608e36321a40ee15ff960372180111
- Size of remote file:
- 2.09 MB
- SHA256:
- ca8ac6479c889912790c842167a14982f7562f9b1872c1cd9a5e9db1f049c3fb
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