Instructions to use KamiyabAli/frames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamiyabAli/frames 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("KamiyabAli/frames") prompt = "FRM$ a majestic mountain range with snow-capped peaks in the background, illuminated by the setting sun. The sky is a beautiful mix of oranges, pinks, and purples, creating a stunning backdrop for the majestic peaks." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
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by KamiyabAli - opened
- README.md +11 -0
- images/example_kol0okh07.png +0 -0
README.md
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pinks, and purples, creating a stunning backdrop for the majestic peaks.
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output:
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url: images/example_o2ro7h0f0.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: FRM$
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license: other
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pinks, and purples, creating a stunning backdrop for the majestic peaks.
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output:
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url: images/example_o2ro7h0f0.png
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- text: >-
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FRM$ a realistic mountain landscape during the day, captured from a camera.
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A winding river flows through a lush green valley, with only one towering
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mountain in the distance covered in snow. The rest of the landscape is green
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and vibrant, contrasting with the white peak. The sky is partly cloudy, with
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soft, rolling clouds casting shadows over the terrain. Sunlight filters
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through the clouds, creating dynamic lighting across the valley, while the
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river glistens in the daylight. The snow-covered mountain stands as a
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striking focal point against the serene, natural surroundings.
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output:
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url: images/example_kol0okh07.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: FRM$
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license: other
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images/example_kol0okh07.png
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