Instructions to use AbstractPhil/geolip-beatrix-sana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use AbstractPhil/geolip-beatrix-sana with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://AbstractPhil/geolip-beatrix-sana") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Diffusers
How to use AbstractPhil/geolip-beatrix-sana with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/Sana_600M_512px_diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AbstractPhil/geolip-beatrix-sana") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
12 days ago
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e014_nano_uniform_comparator: done (written offline, 5 files)
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27 days ago
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e009_lora_mood_up_lr_2e-4: evaluation + result
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e009_lora_mood_up_lr_2e-4: LoRA epochs, previews, log
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e009_lora_mood_up_lr_2e-4: started (README, config, training-set list)
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e008_lora_mood_up_lr_5e-5: evaluation + result
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e008_lora_mood_up_lr_5e-5: LoRA epochs, previews, log
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e008_lora_mood_up_lr_5e-5: started (README, config, training-set list)
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e007_lora_mood_up_reseed: evaluation + result
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e007_lora_mood_up_reseed: LoRA epochs, previews, log
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e007_lora_mood_up_reseed: started (README, config, training-set list)
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e006_lora_mood_down: evaluation + result
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e006_lora_mood_down: LoRA epochs, previews, log
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e006_lora_mood_down: started (README, config, training-set list)
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e005_lora_neutral_control: evaluation + result
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e005_lora_neutral_control: LoRA epochs, previews, log
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e005_lora_neutral_control: started (README, config, training-set list)
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e004_lora_mood_up: evaluation + result
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e004_lora_mood_up: LoRA epochs, previews, log
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e004_lora_mood_up: started (README, config, training-set list)
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e004_lora_mood_up: failed
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e004_lora_mood_up: started (README, config, training-set list)
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e003_trainer_parity: meta
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e003_trainer_parity: README
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e003_trainer_parity: denoise_parity.jpg
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e002_flavor_dial_heldout: meta
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e002_flavor_dial_heldout: README
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e002_flavor_dial_heldout: sheet_dial_heldout.jpg
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e002_flavor_dial_heldout: results/ledger.json
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e002_flavor_dial_heldout: images
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e001_flavor_test: meta
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e001_flavor_test: README
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e001_flavor_test: sheet_dial.jpg
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e001_flavor_test: sheet_words.jpg
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e001_flavor_test: results/ledger.json
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e001_flavor_test: images
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