Instructions to use prathmeshyelne/ImagiX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prathmeshyelne/ImagiX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prathmeshyelne/ImagiX") prompt = "A city above clouds, pastel colors, Victorian style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Hidden oasis in the middle of a vast desert
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by prathmeshyelne - opened
- README.md +5 -0
- images/example_iycc6kro0.png +3 -0
README.md
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glowing in the moonlight
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output:
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url: images/example_8a89eco8l.png
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instance_prompt: null
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license: mit
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base_model:
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glowing in the moonlight
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output:
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url: images/example_8a89eco8l.png
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- text: >-
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A hidden oasis in the middle of a vast desert, with clear turquoise water,
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palm trees, and a golden sunset.
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output:
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url: images/example_iycc6kro0.png
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instance_prompt: null
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license: mit
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base_model:
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images/example_iycc6kro0.png
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Git LFS Details
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