Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
Flux
FluxPipeline
flux schnell
image-generation
flux-diffusers
photo
realism
Instructions to use AlekseyCalvin/HistoricColorSoonr_Schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/HistoricColorSoonr_Schnell with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/HistoricColorSoonr_Schnell", dtype=torch.bfloat16, device_map="cuda") prompt = "HST style autochrome film photograph portrait of 1910 woman playing poker against a purple feathered dinosaur, the green-eyed woman has moderately blemished skin with visible lines and pores, she smiles, film grain, Kodachrome" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
Rename text_encoder_2/text_encoder_2_model.safetensors.index.json to text_encoder_2/model.safetensors.index.json
f8a4889 verified