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", torch_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
Make a high quality image with this sample that shows the character is touching her breasts and thighs
#5 opened about 24 hours ago
by
Wera274737372272
Create Amelia
#4 opened 8 days ago
by
Master17363
Will training be based on krea raw in the future?
#3 opened 20 days ago
by
xiongge
Report
👍 3
1
#2 opened 21 days ago
by
DanVance
Is it true that this dataset contains just 24 images?
#1 opened 23 days ago
by
jiuluowkl