Instructions to use Tellart/SAMAIcollage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tellart/SAMAIcollage 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tellart/SAMAIcollage") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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tags:
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- text-to-image
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- lora
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- diffusers
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url: images/17564a1228ef9056b6c8b49112e27c03.jpg
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text: '-'
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url: images/555e5d7e30c564baedae8bf892a3177a.jpg
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text: '-'
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url: images/Screenshot 2026-03-18 at 12.24.08.png
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text: Screenshot
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base_model: ''
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instance_prompt: SAMAIcollage
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license: apache-2.0
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# samaicollage
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license: other
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base_model: black-forest-labs/FLUX.2-klein-9B
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library_name: diffusers
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- flux-2-klein
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---
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# samaicollage
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