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