Instructions to use 42lux/hildegard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 42lux/hildegard with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("42lux/hildegard", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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- upscaler
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- flux2klein
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---
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# This is the companion LoRa for the hildegard refiner workflow/nodes found here: https://github.com/42lux/ComfyUI-42lux-Hildegard-Refiner
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tags:
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- upscaler
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- flux2klein
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library_name: diffusers
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---
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# This is the companion LoRa for the hildegard refiner workflow/nodes found here: https://github.com/42lux/ComfyUI-42lux-Hildegard-Refiner
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