Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-matching-try2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-matching-try2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AbstractPhil/sd15-flow-matching-try2", 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
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license: mit
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---
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This one is starting over with the new trainer, lets see if it fries early or converges properly.
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license: mit
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base_model: runwayml/stable-diffusion-v1-5
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tags:
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- stable-diffusion
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- diffusion
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- distillation
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- flow-matching
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- geometric-deep-learning
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- research
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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This one is starting over with the new trainer, lets see if it fries early or converges properly.
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