Instructions to use dataautogpt3/OpenDalle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/OpenDalle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalle", dtype=torch.bfloat16, device_map="cuda") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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license: mit
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Messing around with the new DPO https://huggingface.co/mhdang/dpo-sdxl-text2image-v1 i since i was very impressed by it i decied it merge stack it with a few top end no refiner needed models. i ending up making a mind blowing model imo at least.
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extremely prompt adhearing and have not run into a style limit yet even with surrealism!
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license: mit
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pipeline_tag: text-to-image
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Messing around with the new DPO https://huggingface.co/mhdang/dpo-sdxl-text2image-v1 i since i was very impressed by it i decied it merge stack it with a few top end no refiner needed models. i ending up making a mind blowing model imo at least.
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extremely prompt adhearing and have not run into a style limit yet even with surrealism!
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