Instructions to use EnD-Diffusers/emo-goth-core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/emo-goth-core with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/emo-goth-core", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "mikeidsk1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 976 Bytes
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license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: mikeidsk1
---
### Emo & Goth Core Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
# If you want to donate towards costs and don't want to subscribe:
https://ko-fi.com/DUSKFALLcrew
# If you want to monthly support the EARTH & DUSK media projects and not just AI:
https://www.patreon.com/earthndusk
mikeidsk1 (use that on your prompt) |