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
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ tags:
|
|
| 13 |
library_name: diffusers
|
| 14 |
pipeline_tag: text-to-image
|
| 15 |
---
|
| 16 |
-
# Update; The Geometric Blotter
|
| 17 |
sd15-flow-sol is going to be representing a new purpose as per established by tinyflux-lailah structure's internal expert alignment system.
|
| 18 |
|
| 19 |
Simply put; this model is an expert. This is not the same sort of expert as expected by direct training, but instead it's an expert that represents preserved geometric
|
|
@@ -51,10 +51,12 @@ They are arbitrary, however the losses bias this behavior to ensure they don't o
|
|
| 51 |
|
| 52 |
David taught a very specific subset of utility that is present in sd15-flow-lune as well; but flow-lune's fidelity and detail produces INACCURATE representations of that information at higher timesteps.
|
| 53 |
|
| 54 |
-
Meaning, this is is our tool. The first distilled geometric structure
|
| 55 |
-
mathematics of what made the concept work, the faults ipn the experiment that produces the behavior, and the happy bush that turned out to be one of the most important accidental finds of my list.
|
| 56 |
|
| 57 |
|
|
|
|
|
|
|
| 58 |
# flow lune is ready for toying with
|
| 59 |
https://huggingface.co/AbstractPhil/sd15-flow-lune
|
| 60 |
|
|
|
|
| 13 |
library_name: diffusers
|
| 14 |
pipeline_tag: text-to-image
|
| 15 |
---
|
| 16 |
+
# Update; The Geometric Blotter 1/27/2026
|
| 17 |
sd15-flow-sol is going to be representing a new purpose as per established by tinyflux-lailah structure's internal expert alignment system.
|
| 18 |
|
| 19 |
Simply put; this model is an expert. This is not the same sort of expert as expected by direct training, but instead it's an expert that represents preserved geometric
|
|
|
|
| 51 |
|
| 52 |
David taught a very specific subset of utility that is present in sd15-flow-lune as well; but flow-lune's fidelity and detail produces INACCURATE representations of that information at higher timesteps.
|
| 53 |
|
| 54 |
+
Meaning, this is is our tool. The first distilled geometric structure. I will be making a very important article and paper based on this topic to ENSUIRE everyone interested understands the
|
| 55 |
+
mathematics of what made the concept work, the faults ipn the experiment that produces the behavior, WHY I THINK this happened, and the happy bush that turned out to be one of the most important accidental finds of my list.
|
| 56 |
|
| 57 |
|
| 58 |
+
# older, oct 2025, november 25, etc
|
| 59 |
+
|
| 60 |
# flow lune is ready for toying with
|
| 61 |
https://huggingface.co/AbstractPhil/sd15-flow-lune
|
| 62 |
|