Instructions to use deepgoyal19/new_lora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal19/new_lora1 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("deepgoyal19/new_lora1") 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:
- a98b7695e6065b1f35ad32fd99e7859026dc46007764e32c4b958ecb680a0f2e
- Size of remote file:
- 3.29 MB
- SHA256:
- bccfe9aff29d5bda96ab669094c43d7d2c8f59e2cf036776ae05844d23394c88
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