Instructions to use dpredrag/Aigencloud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dpredrag/Aigencloud with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dpredrag/Aigencloud", dtype=torch.bfloat16, device_map="cuda") 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
| inference: true | |
| language: | |
| - en | |
| tags: | |
| - stable-diffusion | |
| - text-to-image | |
| license: creativeml-openrail-m | |
| # AiGenerator cloud open source Stable Diffusion fine tuned model on Midjourney images | |
| --- | |
| Use prompt: 'mdjrny-v4 style' | |
| # Gradio | |