Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use lamble-lambe/atelie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lamble-lambe/atelie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lamble-lambe/atelie") 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 History
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Atualização do model card
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Config 2: rank=4, lr=5e-5, 1000 passos, warmup 100, 35 imagens
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Config 1: rank=8, lr=1e-4, 1500 passos, 35 imagens (estilo lambe-lambe)
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LoRA v1.0.1 — rank8, 1500 passos, legendas BLIP (inglês)
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End of training
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initial commit
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