Instructions to use MLbackup/Flux_Scrape_Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/Flux_Scrape_Loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MLbackup/Flux_Scrape_Loras", 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 2 files
Browse files
Khris_Tia_Elezen_Edition__Alpha_for_Flux-000001.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5afef9eac6ce0588e92d866eca66f3a0d48b2508b8ef8edd81be97516f37a022
|
| 3 |
+
size 89745224
|
Khris_Tia_FFXIV_OC_Viera_Edition_Flux-000001.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c5d7d421e2fdd819db83942ab856041763be35e99968100dec5dcfe68840eb33
|
| 3 |
+
size 89745224
|