Instructions to use fatique/polybotstrainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatique/polybotstrainer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fatique/polybotstrainer") prompt = "(best quality:1.2), trainer,1boy, :d, brown eyes, brown hair, clenched hands, full body, hood, hood down, hooded jacket, hooded sweater, hoodie, looking at viewer, male focus, open mouth, pants, red footwear, red hoodie, shoes, short hair, smile, solo, standing, teeth, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
flux-avatar-pose.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79681b6a030764e501fc07c2d4c86e988bf21d63426423e21eb73304474a0978
|
| 3 |
+
size 153271608
|
images/981105d619ecdf71c248b1dc735d89de_high.webp
ADDED
|
Git LFS Details
|