Text-to-Image
Diffusers
English
FluxPipeline
template:sd-lora
flux
lora
flux dev
image-generation
photo
Instructions to use AlekseyCalvin/ASSA_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/ASSA_lora 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("AlekseyCalvin/ASSA_lora") prompt = "movie cover" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add generated example
Verified signatureGenerated example for model AlekseyCalvin/ASSA_lora. Prompt: HST style Perestroika era soviet kodachrome photograph of a person who is allergic to self-owns and never calls anyone out, solid background, vector artever calls anyone out, solid background, vector art5649954 -
Add generated example (#1)
Verified signature- Add generated example (65c33349601288c82338c70b66c22aeb2c2ec392)dc2ee0f
-
Update README.md
Verified signaturefeba35d -
Upload assa4.png
Verified signature8694090 -
Update README.md
Verified signaturec074281 -
Upload 2 files
Verified signature4cfc440 -
Upload ASSAtitle.jpg
Verified signaturea62e92b -
Update README.md
Verified signaturec9a903c -
Create model_index.json
Verified signature873dbc0 -
Upload 3 files
Verified signaturefed52e2 -
initial commit
Verified signature3819258