Text-to-Image
Diffusers
PyTorch
StableDiffusionControlNetPipeline
stable-diffusion
diffusion-models-class
Instructions to use medmac01/moroccaninteriour-controlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use medmac01/moroccaninteriour-controlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("medmac01/moroccaninteriour-controlNet", 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
| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusion-models-class | |
| ## Description | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| ``` | |