Instructions to use ImageInception/ArtifyAI-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ImageInception/ArtifyAI-v1.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ImageInception/ArtifyAI-v1.1", 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 pipeline.py
Browse files- pipeline.py +1 -1
pipeline.py
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@@ -6,7 +6,7 @@ import torch
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# Load models
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t5_model = T5ForConditionalGeneration.from_pretrained('t5_model')
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t5_tokenizer = T5Tokenizer.from_pretrained('t5_tokenizer')
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ArtifyAI_model = StableDiffusionPipeline.from_pretrained('
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ArtifyAI_model = ArtifyAI_model.to('cuda')
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# Combined pipeline
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# Load models
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t5_model = T5ForConditionalGeneration.from_pretrained('t5_model')
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t5_tokenizer = T5Tokenizer.from_pretrained('t5_tokenizer')
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ArtifyAI_model = StableDiffusionPipeline.from_pretrained('.', torch_dtype=torch.float16)
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ArtifyAI_model = ArtifyAI_model.to('cuda')
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# Combined pipeline
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