Text-to-Image
Diffusers
Safetensors
FluxPipeline
FluxPipeline
FLUXv1-schnell
image-generation
flux-diffusers
art
realism
photography
illustration
anime
full finetune
trained
finetune
trainable
full-finetune
checkpoint
text2image
Schnell
Flux
Artsy
ArtsyLite
Instructions to use AlekseyCalvin/Artsy_Lite_Flux_v1_by_jurdn_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Artsy_Lite_Flux_v1_by_jurdn_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/Artsy_Lite_Flux_v1_by_jurdn_Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Herein lives a HF/Diffusers port of the Flux-Schnell-based Artsy Lite model by jurdn.
Find the safetensors and other versions/variants, plus more info, at the CivitAI link above.
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Model tree for AlekseyCalvin/Artsy_Lite_Flux_v1_by_jurdn_Diffusers
Base model
black-forest-labs/FLUX.1-schnell