Instructions to use michaelz/ArcaneFace-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use michaelz/ArcaneFace-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("michaelz/ArcaneFace-Diffusion", 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
Update README.md
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README.md
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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import torch
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model_id = "michaelz/arcaneface-diffusion"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "arcaneface, a beautiful girl"
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image = pipe(prompt).images[0]
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image.save("example.png")
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---
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license: openrail
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---
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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import torch
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model_id = "michaelz/arcaneface-diffusion"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "arcaneface, a beautiful girl"
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image = pipe(prompt).images[0]
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image.save("example.png")
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