Instructions to use LottePeisch/2dn-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LottePeisch/2dn-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("LottePeisch/2dn-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
- Draw Things
- DiffusionBee
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README.md
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This repository is for the diffusers port of 2dn by Advokat, with some changes by myself:
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Recommended sampler: Euler_A
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Recommended CFG: 7-15
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Works well with high res fix, but can also create direct 1024x768 images.
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---
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license: creativeml-openrail-m
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language:
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- en
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library_name: diffusers
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pipeline_tag: text-to-image
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tags:
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- art
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---
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This repository is for the diffusers port of 2dn by Advokat, with some changes by myself:
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Recommended sampler: Euler_A
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Recommended CFG: 7-15
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Works well with high res fix, but can also create direct 1024x768 images.
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