Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use JayeeYi/flat-2d-animerge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JayeeYi/flat-2d-animerge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JayeeYi/flat-2d-animerge", 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 | |
| language: | |
| - en | |
| library_name: diffusers | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - dreambooth | |
| pipeline_tag: text-to-image | |
| inference: true | |
| # flat-2d-animerge | |
| This is a checkpoint made by [bigbeanboiler](https://civitai.com/models/35960) and published on Civit AI. | |
| The weights have been converted to diffusers format for ease of use in the diffusers library. | |
| Sample images: | |
|  | |
|  | |