Instructions to use PromptWaffle/ButternutCrunch_Storybook_Krea2_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PromptWaffle/ButternutCrunch_Storybook_Krea2_V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PromptWaffle/ButternutCrunch_Storybook_Krea2_V1") prompt = "3ul4ia a full body stormtrooper , face on to the camera, with a grey background, the helmet is held together by the ancient practice of kintsugi glowing smoking lava filling all the cracks in the helmet,some lack a drips out, the photo should look like it's been shot with a canon eos r5 at f/t, iso 400. The photo should have dramatic, cinematic lighting that highlights the detailed features, the image should look like it's been taken by Helmut Newton" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9979b2f3ce9bc6759b71e05d47f5efc8e982183d3508a9705656514675a619e4
- Size of remote file:
- 229 MB
- SHA256:
- 0989e5713ceb26909d7e4cc63433b3723a47cb4e349041fd4cdbe59c355f9be4
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