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:
- f452471fa4aaa45a24c02d06b546866292b31267843642bbf7ba53c38ae7f970
- Size of remote file:
- 4.18 MB
- SHA256:
- 061c3b67c718d82145b8a87453fd421cec44fbc06668679ef55218809a2416e1
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