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
- Draw Things
- DiffusionBee
Add generated example
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by Rooni - opened
- README.md +3 -0
- images/example_bp9zou8ex.png +3 -0
README.md
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- text: Cat on bed
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output:
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url: images/example_84jyrrtjz.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: Cat on bed
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output:
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url: images/example_84jyrrtjz.png
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- text: nmega. realism cat
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output:
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url: images/example_bp9zou8ex.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_bp9zou8ex.png
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Git LFS Details
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