Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-matching 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", 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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README.md
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# SD1.5 Flow-Matching Distillation with Geometric Guidance (EXPERIMENTAL)
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## ⚠️ Experimental Research
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**Status:** Training in progress | No guarantees of convergence or quality
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# SD1.5 Flow-Matching Distillation with Geometric Guidance (EXPERIMENTAL)
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The day disappeared on me and the trainer stayed down most of the day because I was working on other tasks.
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Colab randomly died last night after epoch 7, and I found out the thing wasn't uploading so now I'm just going to have to restart from epoch 3 - the version I manually uploaded before I went to bed. They were supposed to be pooled in a private repo but they weren't.
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## ⚠️ Experimental Research
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**Status:** Training in progress | No guarantees of convergence or quality
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