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
Download image_1.png from kramp/sd15-lora-album-covers-rock: direct link, hf CLI and curl.
- Browser
- Download file 479 kB
-
https://huggingface.co/kramp/sd15-lora-album-covers-rock/resolve/main/image_1.png
- Command line
-
hf download hf://kramp/sd15-lora-album-covers-rock/image_1.png
-
curl -L -o image_1.png https://huggingface.co/kramp/sd15-lora-album-covers-rock/resolve/main/image_1.png
479 kB

- Xet hash:
- d26bcfc78faf2766297be69c28797aded779133997d01841d2f49b9e1102fdec
- Size of remote file:
- 479 kB
- SHA256:
- 4a8c992a28868b97eacb87bc706155e2b29cdc604ffbac35536614ae09082568
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