Instructions to use mojen/ArchEx_realmix_v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mojen/ArchEx_realmix_v11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mojen/ArchEx_realmix_v11") prompt = "a commercial photography of a modern japanese house in the middle of a forest, natural lighting, HD, 8k, scenery, hyperrealistic, realistic architecture" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
archexrealmixv11

- Prompt
- a commercial photography of a modern japanese house in the middle of a forest, natural lighting, HD, 8k, scenery, hyperrealistic, realistic architecture
- Negative Prompt
- sketch, mock up, cgi, artificial background, render
Trigger words
You should use archexrealmixv11 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mojen/ArchEx_realmix_v11
Base model
runwayml/stable-diffusion-v1-5