Instructions to use sd-dreambooth-library/seraphm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/seraphm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/seraphm", 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
seraphm Dreambooth model trained by mint designer at alvdansen with TheLastBen's fast-DreamBooth notebook trained on 1500 steps and 12 images. Aesthetic diverse dataset which should allow the character to be used seamlessly in a multitude of aesthetics.
Test the concept via A1111 Colab fast-Colab-A1111
Or you can run your new concept via diffusers Colab Notebook for Inference
Sample pictures of this concept:
prompt (credit Astria.ai) serphm prince :: by Martine Johanna and Simon Stålenhag and Chie Yoshii and Casey Weldon and wlop :: ornate, dynamic, particulate, rich colors, intricate, elegant, highly detailed, centered, artstation, smooth, sharp focus, octane render, 3d
Follow our other work, and additional style drops: http://alvdansen.com
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