Instructions to use prushton/logo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prushton/logo-lora 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("prushton/logo-lora") 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:
- b5a6db7b5b5b23dab7c34a0fa32cf3e1733f2f4b04a836e4b31f43d5c08d21ff
- Size of remote file:
- 6.59 MB
- SHA256:
- 5a19e365a98593ab15d176ee12dbd04a2f987854e3a855cffd82259a4c821cc9
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