Instructions to use fffiloni/oniric-750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/oniric-750 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("fffiloni/oniric-750") prompt = "illustration of a white deer with antlers standing in the middle of a forest. in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
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by fffiloni - opened
- README.md +7 -0
- images/example_t21wg2ri2.png +0 -0
README.md
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atmosphere. in the style of TOK
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output:
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url: images/example_zx01i6mkl.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: in the style of TOK
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license: other
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atmosphere. in the style of TOK
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output:
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url: images/example_zx01i6mkl.png
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- text: >-
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an hourglass sitting atop a rock in the middle of a night sky, with a
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crescent moon in the background and stars twinkling in the darkness. The
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hourglass is filled with sand, symbolizing the passage of time. in the
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style of TOK
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output:
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url: images/example_t21wg2ri2.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: in the style of TOK
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license: other
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images/example_t21wg2ri2.png
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