Instructions to use LiberationLabs/image-toolbench with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiberationLabs/image-toolbench with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LiberationLabs/image-toolbench") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload README.md with huggingface_hub
Browse files
README.md
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# Image Toolbench
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Generation pipeline scripts and LoRA weights for the Coalition's FLUX.1-dev image generation stack.
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---
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license: other
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tags:
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- flux
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- lora
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- image-generation
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- flux.1-dev
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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# Image Toolbench
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Generation pipeline scripts and LoRA weights for the Coalition's FLUX.1-dev image generation stack.
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