Instructions to use D4ve-R/yellow-lora-sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use D4ve-R/yellow-lora-sd15 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("D4ve-R/yellow-lora-sd15") 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:
- 12fd0e9c44d0d95eec25d679e5dd58c24b714db5946bce4bab633d71ea6c1706
- Size of remote file:
- 14.7 kB
- SHA256:
- d00f4c639efc9a69cb46d33ba10a46b1195d05f6106bfc309666b433f6a97398
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