Instructions to use alx-ai/noggles11400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alx-ai/noggles11400 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alx-ai/noggles11400", 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
noggles11400 on Stable Diffusion via Dreambooth trained on the fast-DreamBooth.ipynb by TheLastBen notebook
Model by alxdfy
This your the Stable Diffusion model fine-tuned the noggles11400 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the instance_prompt(s): nounsbud.jpg
You can also train your own concepts and upload them to the library by using the fast-DremaBooth.ipynb by TheLastBen.
You can run your new concept via A1111 Colab :Fast-Colab-A1111
Or you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded
Sample pictures of this concept:
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