Instructions to use Avener/Steampunk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avener/Steampunk 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("Avener/Steampunk") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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license: apache-2.0
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---
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# Steampunk
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Weights for this model are available in Safetensors format.
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[Download](/Avener/Steampunk/tree/main) them in the Files & versions tab.
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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license: apache-2.0
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datasets:
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- fka/awesome-chatgpt-prompts
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language:
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- en
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new_version: deepseek-ai/DeepSeek-R1
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pipeline_tag: text-to-image
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---
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# Steampunk
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Weights for this model are available in Safetensors format.
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[Download](/Avener/Steampunk/tree/main) them in the Files & versions tab.
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