Instructions to use mozci/logostablediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mozci/logostablediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mozci/logostablediff") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e6e838d46a3c54e2775bbfe0f514a9fed86c4776711db9642e7dafe98c3b4129
- Size of remote file:
- 6.59 MB
- SHA256:
- 1eb70fbce93101bfad48649f0784b9f1c3540ef3da147db2fb1ca35938f85e3c
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