Instructions to use JarvisLabs/LASERGUN_FACTORY_COWBOY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JarvisLabs/LASERGUN_FACTORY_COWBOY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JarvisLabs/LASERGUN_FACTORY_COWBOY") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Create Train1/traning_settings.json
Browse files- Train1/traning_settings.json +10 -0
Train1/traning_settings.json
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{
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"steps": 1000,
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"images": "https://replicate.delivery/pbxt/LRsoLR6KfsQnhrDqp0d4MQM3VfTf6AzSEsEEfyIvZ3XEh39k/CONSOLE_COWBOY.zip",
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"hf_token": "[REDACTED]",
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"batch_size": 1,
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"resolution": "512,768,1024",
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"lora_linear": 16,
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"learning_rate": 0.0004,
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"lora_linear_alpha": 16
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}
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