Instructions to use kpsss34/Pre-train_diffusion_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kpsss34/Pre-train_diffusion_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kpsss34/Pre-train_diffusion_models", 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
Upload flux1-dev-fp8.safetensors
Browse files
flux1-dev-fp8.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1be961341be8f5307ef26c787199f80bf4e0de3c1c0b4617095aa6ee5550dfce
|
| 3 |
+
size 11901525888
|