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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Tellart/SAMAIcollage: direct link, hf CLI and curl.
- Browser
- Download file 369 Bytes
-
https://huggingface.co/Tellart/SAMAIcollage/resolve/main/README.md
- Command line
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hf download hf://Tellart/SAMAIcollage/README.md
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curl -L -o README.md https://huggingface.co/Tellart/SAMAIcollage/resolve/main/README.md
369 Bytes
metadata
license: other
base_model: black-forest-labs/FLUX.2-klein-9B
library_name: diffusers
tags:
- text-to-image
- flux
- lora
- diffusers
- flux-2-klein
samaicollage
Trigger words
You should use SAMAIcollage to trigger the image generation.
Download model
Download them in the Files & versions tab.