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:
- ba8a3871e9e989e3997d7901fa3597b428bdae0de163e2e4ed97fa5e02bde776
- Size of remote file:
- 6.59 MB
- SHA256:
- 92feb07eaa71bdbf86254250eeb2bde5a2c92c68a60c599b42b0b65e547ab011
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