Instructions to use AlekseyCalvin/Portra800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Portra800 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/Portra800") prompt = "TOK style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: unlicense
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- flux
- flux dev
- photo
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: TOK style
Kodak Portra 800-inspired Realistic Model by Shapestudio (Fine-tuned from Flux Schnell/Dev)
Model description
Also found/usable via Replicate HERE
Trigger words
You should use 'TOK style' to trigger the image generation.