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AlekseyCalvin/HST_sd35_rank256_LoRA_step3000
HST_sd35_rank256_LoRA_step3000 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 creativeml-openrail-m.
Model trained with AI Toolkit by Ostris <Gallery /
Downloads · 30 days
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.safetensors2.3 GB · 100%
From the Hugging Face model README
Model trained with AI Toolkit by Ostris <Gallery />
HST style autochrome photo
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-3.5-large', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/HSTsd3iii', weight_name='HSTsd3ii.safetensors')
image = pipeline(' HST style photorealistic communist poster with text "JOIN RCA!", over autochrome color photo of Vladimir Lenin at a Dada cabaret in 1916 Zurich, dancing with a red feathered drunken dinosaur who is an early conceptual artist. Lenin has a face full of contageous awe, his blemished skin with visible pores flushing with anxious excitement and his famous bald spot sweatily glistening under the cabaret's warm lights. In the back, Krupskaya and Inessa Armand uproriously laugh at the dancers.').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers