Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
Flux
FluxPipeline
flux schnell
image-generation
flux-diffusers
photo
realism
Instructions to use AlekseyCalvin/HistoricColorSoonr_v2_FluxSchnell_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/HistoricColorSoonr_v2_FluxSchnell_Diffusers 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_v2_FluxSchnell_Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "HST style autochrome photo of a young woman playing poker against a blue-feathered dinosaur sitting across from her, moderately wrinkled blemished lined skin texture with pores" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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