Instructions to use BooMarshmello/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BooMarshmello/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BooMarshmello/output") prompt = "a photo of bluey-pi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- checkpoint-100/optimizer.bin +1 -1
- checkpoint-100/pytorch_lora_weights.safetensors +1 -1
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1100/optimizer.bin +3 -0
- checkpoint-1100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1100/random_states_0.pkl +3 -0
- checkpoint-1100/scheduler.bin +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1300/optimizer.bin +3 -0
- checkpoint-1300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1300/random_states_0.pkl +3 -0
- checkpoint-1300/scheduler.bin +3 -0
- checkpoint-1400/optimizer.bin +3 -0
- checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1400/random_states_0.pkl +3 -0
- checkpoint-1400/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1600/optimizer.bin +3 -0
- checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1600/random_states_0.pkl +3 -0
- checkpoint-1600/scheduler.bin +3 -0
- checkpoint-1700/optimizer.bin +3 -0
- checkpoint-1700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1700/random_states_0.pkl +3 -0
- checkpoint-1700/scheduler.bin +3 -0
- checkpoint-1800/optimizer.bin +3 -0
- checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1800/random_states_0.pkl +3 -0
- checkpoint-1800/scheduler.bin +3 -0
- checkpoint-1900/optimizer.bin +3 -0
- checkpoint-1900/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1900/random_states_0.pkl +3 -0
- checkpoint-1900/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +1 -1
- checkpoint-200/pytorch_lora_weights.safetensors +1 -1
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2100/optimizer.bin +3 -0
- checkpoint-2100/pytorch_lora_weights.safetensors +3 -0
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checkpoint-1900/scheduler.bin
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checkpoint-2000/optimizer.bin
ADDED
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checkpoint-2000/scheduler.bin
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checkpoint-2100/optimizer.bin
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checkpoint-2100/pytorch_lora_weights.safetensors
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