Instructions to use etherealxx/systemy-csrmodel-cutesexyrobutts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use etherealxx/systemy-csrmodel-cutesexyrobutts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("etherealxx/systemy-csrmodel-cutesexyrobutts", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
1f0a662
1
Parent(s): d5a238b
Models and stuff
Browse files
CSRmodel_1-CSRmodel_0-Weighted_sum-merged.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8e50ba14df167f858908ca00832c99d269d0125d7580e1a7da0e37ec2b69be8
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size 4265380512
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Dreambooth settings used.txt
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export LD_LIBRARY_PATH=/usr/lib/wsl/lib:$LD_LIBRARY_PATH
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export MODEL_NAME="/home/systemy/NAI"
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export OUTPUT_DIR="/mnt/d/jigsaw"
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accelerate launch train_dreambooth.py \
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--pretrained_model_name_or_path="$MODEL_NAME" \
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--pretrained_vae_name_or_path="stabilityai/sd-vae-ft-mse" \
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--output_dir="/mnt/d/acuteoutput" \
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--seed=3434554 \
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--resolution=512 \
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--train_batch_size=1 \
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--train_text_encoder \
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--mixed_precision="fp16" \
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--use_8bit_adam \
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--gradient_accumulation_steps=1 \
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--learning_rate=1e-6 \
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--lr_scheduler="constant" \
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--lr_warmup_steps=0 \
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--sample_batch_size=6 \
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--max_train_steps=100000 \
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--save_interval=1500 \
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--save_sample_prompt="image of SystemyTrigger girl" \
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--concepts_list="concepts_list.json" \
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--pad_tokens
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settings example.PNG
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