Instructions to use radoslavvv/coca-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radoslavvv/coca-cola 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("radoslavvv/coca-cola") prompt = "A photo of coca cola bottle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- af1be0972f7c3a6c0730eda9c151afea6ded01b9c9e22c5328689e784d53ca84
- Size of remote file:
- 316 kB
- SHA256:
- fc99a8637bd3b78773f4ef2a3afa283df5468afde3537e138c3bbb9d5642cac3
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