Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-lune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-lune 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-lune", 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
Upload checkpoint-00052296/trained_images.json with huggingface_hub
Browse files
.gitattributes
CHANGED
|
@@ -52,3 +52,4 @@ checkpoint-00046000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
|
| 52 |
checkpoint-00048000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
| 53 |
checkpoint-00050000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
| 54 |
checkpoint-00052000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 52 |
checkpoint-00048000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
| 53 |
checkpoint-00050000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
| 54 |
checkpoint-00052000/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
checkpoint-00052296/trained_images.json filter=lfs diff=lfs merge=lfs -text
|
checkpoint-00052296/trained_images.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d7ff9ded09f775302b1e74180843741bee8665bb55aaef8afd6ca64d407bef1
|
| 3 |
+
size 28758009
|