Instructions to use lvladikov/Krea2-Turbo-Distill-2step-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lvladikov/Krea2-Turbo-Distill-2step-LoRA 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("lvladikov/Krea2-Turbo-Distill-2step-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Prep for chk17464 release
Browse files
_archive/checkpoints/krea2_turbo_2step_rank_64_lora_chk00017464.safetensors
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oid sha256:cc7a7d65ca04070b2aa1dbf60b3cd0cf210fde2a93d4d7d4fc18bdadf23060d3
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_archive/checkpoints/krea2_turbo_2step_rank_64_lora_chk00017464_comfyui.safetensors
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size 438141680
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