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AlekseyCalvin/Natalia_Goncharova_Style_FluxLoRA_LowStepVariant_BySilverAgePoets
Natalia_Goncharova_Style_FluxLoRA_LowStepVariant_BySilverAgePoets is a text-to-image model from AlekseyCalvin. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
NOTE: This is a low-step (350) variant of our Goncharova Style FluxLoRA, from the same training as the variant at our other repo. <br In order to spare the HF Inference API the confusion provoked by multiple t2i check…
Downloads · 30 days
52
15% of all-time downloads
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From the Hugging Face model README
NOTE: This is a low-step (350) variant of our Goncharova Style FluxLoRA, from the same training as the variant at our other repo. <br> In order to spare the HF Inference API the confusion provoked by multiple t2i checkpoints at one repo, & for clearer versioning overall, we've added this second home for Flux'd Goncharova. <br>
A Low(ish)-Rank Adapter (LoRA) (rank 64) for FLUX models <br>
Fine-tuned on around 30 artworks (mainly paintings, plus a few drawings/versebook illustrations) by... <br>
The paradigm-setting Cubo-Futurist, post-Expressionist, quasi-Suprematist, proto-Constructivist, & many other sorts of -ist artist: <br>
The legendary horizon-bender Natalia Goncharova (1881-1962)! <br>

You should use Goncharova style avant-garde painting by the artist Natalia Goncharova, plus (optionally) Cubo-futurist Post-Expressionist Suprematist early-Soviet Proto-Constructivist elements &/or realistically textured canvas & brush strokes to direct Goncharova's forever-questing brush unto a fresh creation. <br>

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/Natalia_Goncharova_Style_FluxLoRA_bySilverAgePoets')
image = pipeline('your prompt').images[0]