Instructions to use bghira/deepcinema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/deepcinema with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-M-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bghira/deepcinema") prompt = "a happy family" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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11750 steps.
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9750 steps
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6250 steps, improved aesthetics and coherence
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4000 steps, same datasets, hparams
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3500 steps, enabled mj-v6, bg20k-1024 combined datasets, better text generation.
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2250 steps, probably last ckpt before it starts multi-aspect training
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2000 steps
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1000 steps
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500 steps
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250 steps of attempt 3 stage i lora, rank 32/alpha 16, same datasets. 64px, square aspect.
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retraining on new settings. moving old model out of the way. was at 2500 steps, attempt 2.
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Upload lora-df_stage2_17250-steps.safetensors
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add stage II lora, 12750 steps
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Update README.md
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2500 steps: re-trained with rank-32/alpha-16, typography dataset from CogVLM included
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initial commit
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