Instructions to use Dikshan1234/ImageGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dikshan1234/ImageGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Dikshan1234/ImageGen") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 258b3d87cfe036a0fe949516137ed145cd8c174bdb720d4229552c8024ce1abf
- Size of remote file:
- 5.32 GB
- SHA256:
- 105c574d9fed0affc1d69d158b1f539aaf2e5229f671dca828dd785b29dad83a
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