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
- Draw Things
- DiffusionBee
- Xet hash:
- 6df260750f9b986e061150581683bda5e3e89470482fba9f89395b9bc90ba25f
- Size of remote file:
- 6.59 MB
- SHA256:
- b00551e39501235d2bc1103f71b65d82b6180c00322c23ce0752282f4f51da5a
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