Instructions to use TheAwakenOne/max-headroom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheAwakenOne/max-headroom 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("TheAwakenOne/max-headroom") prompt = "M2X a stylized retro Albert Einstein with dark sunglasses, wearing a green suit, set against a neon background. He has a confident and cheerful expression, suggesting charisma and charm in a retro-futuristic 80's aesthetic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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by EconLabAI - opened
- README.md +5 -0
- images/example_qhzrkgroo.png +0 -0
README.md
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shouting "AWKN!". The design captures a vibrant 80s aesthetic
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output:
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url: images/example_q4uv7trqg.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: M2X
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license: other
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shouting "AWKN!". The design captures a vibrant 80s aesthetic
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output:
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url: images/example_q4uv7trqg.png
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- text: >-
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Recordcover: M2X - Spectral Mission 89 with very small abstract space horse
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shadow
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output:
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url: images/example_qhzrkgroo.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: M2X
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license: other
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images/example_qhzrkgroo.png
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