Instructions to use NeurixYUFI/Neurix-Mega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeurixYUFI/Neurix-Mega 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NeurixYUFI/Neurix-Mega") prompt = "Cat on bed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#19
by Rooni - opened
- README.md +3 -0
- images/example_tvy0wffoc.png +3 -0
README.md
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@@ -55,6 +55,9 @@ widget:
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- text: an anime hamburger photo. Blue accent
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output:
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url: images/example_ewmvfmjm9.png
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base_model: black-forest-labs/FLUX.1-schnell
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instance_prompt: nmega
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license: apache-2.0
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- text: an anime hamburger photo. Blue accent
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output:
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url: images/example_ewmvfmjm9.png
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- text: A anime girl in 3d style
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output:
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url: images/example_tvy0wffoc.png
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base_model: black-forest-labs/FLUX.1-schnell
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instance_prompt: nmega
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license: apache-2.0
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images/example_tvy0wffoc.png
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Git LFS Details
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