Instructions to use TheMistoAI/MistoLine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheMistoAI/MistoLine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheMistoAI/MistoLine", 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
fix: syntax error - missing , in example
#6
by imhashir - opened
README.md
CHANGED
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@@ -114,7 +114,7 @@ controlnet_conditioning_scale = 0.5
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controlnet = ControlNetModel.from_pretrained(
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"TheMistoAI/MistoLine",
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-
torch_dtype=torch.float16
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variant="fp16",
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)
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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controlnet = ControlNetModel.from_pretrained(
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"TheMistoAI/MistoLine",
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+
torch_dtype=torch.float16,
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variant="fp16",
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)
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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