Instructions to use mgwr/M87 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mgwr/M87 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mgwr/M87") prompt = "An artistic, warm analog film photograph capturing the silhouette of a young woman standing indoors in profile. She has her hair styled in a high bun and stands near a large multi-paned wooden window, her body turned to the left with one knee bent. A light fabric is loosely draped over her lower body. The window opens up to a bright, sun-drenched beach scene with a sandy cove, rolling ocean waves, green coastal shrubs, and distant figures of beachgoers walking near large grey boulders. Because of the strong backlight from the sunny day outside, her figure is cast in a soft, dark silhouette. The image features a heavy vintage film grain, warm golden highlights, low interior contrast, and a nostalgic, summer-vibe aesthetic. --preview" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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