Instructions to use AlexWortega/AnimeDiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexWortega/AnimeDiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlexWortega/AnimeDiffusion2", 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
Typo in code example
#2
by luh0 - opened
README.md
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@@ -43,7 +43,7 @@ from torch import autocast
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained(
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'AlexWortega/
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torch_dtype=torch.float32
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).to('cuda')
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained(
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'AlexWortega/AnimeDiffusion2',
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torch_dtype=torch.float32
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).to('cuda')
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