Instructions to use damian0815/pashahlis-val-test-1e-6-ep30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use damian0815/pashahlis-val-test-1e-6-ep30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("damian0815/pashahlis-val-test-1e-6-ep30", 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
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This is the result of training with [a mixed style/object dataset kindly provided by @Pashahlis](val-test-7e-8.zip) at a learning rate of 1e-6 for 30 epochs (70 steps/epoch) with batch size 18.
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## validation
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license: openrail
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This is the result of training with [a mixed style/object dataset kindly provided by @Pashahlis](val-test-7e-8.zip) at a learning rate of 1e-6 for 30 epochs (70 steps/epoch) with batch size 18.
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## validation
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