Instructions to use Lonuhbow/makeout2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lonuhbow/makeout2 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("Lonuhbow/makeout2") prompt = "Makeout2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files- snapshots/manifest.json +49 -0
- snapshots/step-1000.safetensors +3 -0
- snapshots/step-1200.safetensors +3 -0
- snapshots/step-1400.safetensors +3 -0
- snapshots/step-1600.safetensors +3 -0
- snapshots/step-1800.safetensors +3 -0
- snapshots/step-200.safetensors +3 -0
- snapshots/step-2000.safetensors +3 -0
- snapshots/step-400.safetensors +3 -0
- snapshots/step-600.safetensors +3 -0
- snapshots/step-800.safetensors +3 -0
snapshots/manifest.json
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{
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"base_model": "krea/Krea-2-Raw",
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"inference_model": "krea/Krea-2-Turbo",
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"trigger": "Makeout2",
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"checkpoint_interval": 200,
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"max_train_steps": 2000,
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"snapshots": [
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"step": 200,
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"file": "step-200.safetensors"
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{
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"step": 400,
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"file": "step-400.safetensors"
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{
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"step": 600,
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"file": "step-600.safetensors"
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{
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"step": 800,
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"file": "step-800.safetensors"
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"step": 1000,
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"file": "step-1000.safetensors"
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"step": 1200,
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"file": "step-1200.safetensors"
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{
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"step": 1400,
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"file": "step-1400.safetensors"
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"step": 1600,
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"file": "step-1600.safetensors"
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"step": 1800,
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"step": 2000,
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"file": "step-2000.safetensors"
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}
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]
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}
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version https://git-lfs.github.com/spec/v1
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size 191879376
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