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
- Draw Things
- DiffusionBee
- Xet hash:
- 45cfdc29814017dc3426a44255a3a1097679ef86aee25ae1f9f7336cb1a7f888
- Size of remote file:
- 1.72 GB
- SHA256:
- dd8c5e9cbbed01ef09c779550014b5f7e22ebce7ba439ade3af88bc26c5d190a
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