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 Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from prushton/logo-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/prushton/logo-lora/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://prushton/logo-lora/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/prushton/logo-lora/resolve/main/checkpoint-2000/optimizer.bin
6.59 MB
- Xet hash:
- a2e8cb1c51924ddcd2815a7dd5ae39a551be0624fa4f0355e5461108c999b8c3
- Size of remote file:
- 6.59 MB
- SHA256:
- 799cd83483bc8dd1d7ec90f975b60239d860ec6eaf7a22e108ef62d6a7f73b7e
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