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
Add 6 files
Browse files- ButternutCrunch_Storybook_Krea2_V1.safetensors +3 -0
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