metadata

tags:
  - text-to-image
  - sd3
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
  - history
  - photo
  - rank256
widget:
  - text: >-
      HST style communist poster with text "JOIN RCA!", over autochrome color
      photo of Vladimir Lenin at a Dada cabaret in 1916 Zurich,  dancing with
      red feathered drunken dinosaur, an early conceptual artist. Lenin is full
      of contageous awe, his blemished skin flushing  with anxious excitement,
      his famous bald spot sweatily glistening under warm lights. In the back,
      Krupskaya and Inessa Armand laugh. 
    output:
      url: sd35_4k_v.jpg
  - text: >-
      HST style photograph of a dark CIA agent Koala leaping at an excited 
      Julian Assange and trying to steal his pills from his pockets,  caption
      /PILLZAR! WHERE YOUR PILLS ARE!/, award-winning art photo
    output:
      url: sd35_4k_i.jpg
  - text: >-
      HST style photo of realistic green-eyed black and white furred cat 
      playing a piano and singing while pills rain from the sky,  large 3d font
      caption text of /PILLZAR! WHERE YOUR PILLS ARE!/  amateur photo shot on a
      cell phone
    output:
      url: sd35_4k_ii.jpg
  - text: >-
      HST style autochrome photo of realistic green-eyed black cat, with
      prominent regions of white fur, playing a piano and singing, amateur 2004
      photograph shot on a cell phone in a Los Angeles apartment kitchen
    output:
      url: sd35_iv.jpg
  - text: >-
      HST style autochrome photo with title / PILLZAR! THAT IS WHERE YOUR PILLS
      ARE! /  of an ether-drugged Pikachu sitting in a white plastic cylindical
      stacked  medication dispenser with an unscrewable top, while gowned Marina
      Tsvetaeva  gently pets pikachu on the head, David Lynch and Mucha styles, 
      detailed faces, in a European city circa 1920
    output:
      url: sd35_4k_iii.jpg
base_model: stabilityai/stable-diffusion-3.5-large
license: creativeml-openrail-m
language:
  - en
pipeline_tag: text-to-image

HSTsd3ii

Model trained with AI Toolkit by Ostris

Prompt
HST style communist poster with text "JOIN RCA!", over autochrome color photo of Vladimir Lenin at a Dada cabaret in 1916 Zurich, dancing with red feathered drunken dinosaur, an early conceptual artist. Lenin is full of contageous awe, his blemished skin flushing with anxious excitement, his famous bald spot sweatily glistening under warm lights. In the back, Krupskaya and Inessa Armand laugh.

Prompt
HST style photograph of a dark CIA agent Koala leaping at an excited Julian Assange and trying to steal his pills from his pockets, caption /PILLZAR! WHERE YOUR PILLS ARE!/, award-winning art photo

Prompt
HST style photo of realistic green-eyed black and white furred cat playing a piano and singing while pills rain from the sky, large 3d font caption text of /PILLZAR! WHERE YOUR PILLS ARE!/ amateur photo shot on a cell phone

Trigger words

HST style autochrome photo

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

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