Instructions to use dainlee/output_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dainlee/output_final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dainlee/output_final", 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
- Draw Things
- DiffusionBee
Delete logs/text2image-fine-tune/1667232956.3832672/events.out.tfevents.1667232956.129-213-16-200.68132.1
Browse files
logs/text2image-fine-tune/1667232956.3832672/events.out.tfevents.1667232956.129-213-16-200.68132.1
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