Instructions to use EnD-Diffusers/Animated_Dreams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Animated_Dreams 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/Animated_Dreams", 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 Settings
- Draw Things
- DiffusionBee
File size: 1,482 Bytes
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- anime
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
text: meitu
---
[](https://huggingface.co/spaces/Duskfallcrew/Animated_Dreams)
### Animated Dreams Dreambooth model trained by Duskfallcrew with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
# Coffee is nice:
https://ko-fi.com/DUSKFALLcrew
Concept tag: Meitu
# Model Updates on CivIt:
https://civitai.com/user/duskfallcrew
# Sample Images Are available here



# More sample images will be added to the folder with text files here:
https://huggingface.co/Duskfallcrew/animutest/tree/main/Concept_Stuff |