Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
album-covers
rock
metal
Instructions to use kramp/sd15-lora-album-covers-rock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kramp/sd15-lora-album-covers-rock with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kramp/sd15-lora-album-covers-rock") 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
Add sample: sample_desert_highway
Browse files- .gitattributes +1 -0
- samples/sample_desert_highway.png +3 -0
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samples/sample_gothic_cathedral.png filter=lfs diff=lfs merge=lfs -text
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samples/sample_chrome_skull.png filter=lfs diff=lfs merge=lfs -text
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samples/sample_punk_collage.png filter=lfs diff=lfs merge=lfs -text
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samples/sample_gothic_cathedral.png filter=lfs diff=lfs merge=lfs -text
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samples/sample_chrome_skull.png filter=lfs diff=lfs merge=lfs -text
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samples/sample_desert_highway.png filter=lfs diff=lfs merge=lfs -text
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samples/sample_desert_highway.png
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Git LFS Details
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