Instructions to use Disty0/sotediffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sotediffusion-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/sotediffusion-v2", torch_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
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README.md
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license: other
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license_name: faipl-1.0-sd
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license_link: LICENSE
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datasets: Disty0/sotediffusion-text_only
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base_model: Disty0/sotediffusion-wuerstchen3
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tags:
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- text-to-image
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license: other
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license_name: faipl-1.0-sd
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license_link: LICENSE
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datasets: Disty0/sotediffusion-v1-text_only
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base_model: Disty0/sotediffusion-wuerstchen3
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tags:
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- text-to-image
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