Instructions to use EnD-Diffusers/EarthAnimixMain_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/EarthAnimixMain_Diffusers 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/EarthAnimixMain_Diffusers", 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: 2,604 Bytes
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license: creativeml-openrail-m
datasets:
- Duskfallcrew/Creative-Embeddings
- Nerfgun3/bad_prompt
language:
- en
library_name: diffusers
tags:
- art
- anime
- cel shade
- stable diffusion
pipeline_tag: text-to-image
---
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