Instructions to use IcelosAI/Spacephoto_LORA_XL_Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IcelosAI/Spacephoto_LORA_XL_Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("IcelosAI/Spacephoto_LORA_XL_Base") prompt = "spacephoto of a satellite" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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@@ -51,6 +51,8 @@ It's a bit of a gamble whether a well-constructed space station, spaceship o
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Simply enter “spacephoto” as the trigger word and then specify whether you want a space station, a satellite or a spaceship and which attachments - such as solar panels, antennas, modules or rocket engines.
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## Trigger words
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You should use `spacephoto` to trigger the image generation.
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Simply enter “spacephoto” as the trigger word and then specify whether you want a space station, a satellite or a spaceship and which attachments - such as solar panels, antennas, modules or rocket engines.
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The LoRA works best with models such as RealVisXL 5.0.
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## Trigger words
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You should use `spacephoto` to trigger the image generation.
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