Instructions to use DhruvParth/sd-class-skinrash-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DhruvParth/sd-class-skinrash-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DhruvParth/sd-class-skinrash-64", 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
Model Card for DermAI-Viz
This model is a diffusion model for medical image generation, specifically designed for visualizing the progression and treatment responses of skin conditions such as eczema, ringworm, and dermatitis across different skin types.
Description
DermAI-Viz employs state-of-the-art diffusion models to provide dermatologists, medical students, and researchers with realistic visualizations of skin condition progression. The model helps in understanding how different treatments might affect the progression of various skin diseases, contributing to more personalized and effective care.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('DhruvParth/sd-class-skinrash-64')
image = pipeline().images[0]
image
- Downloads last month
- 11
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support