Instructions to use bsflash/zIT_Arthouse_Cinema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bsflash/zIT_Arthouse_Cinema with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bsflash/zIT_Arthouse_Cinema") prompt = "bsArthouse, SCENE: A portrait of a down syndrome person with albinism and long, light-colored hair, wearing a textured black garment. The expression is serious and contemplative, with the wind subtly blowing the hair, adding a dynamic element to the composition. The black and white color palette emphasizes the contrast between the subject's light hair and the dark clothing, creating a striking visual impact. The background is minimal and out of focus, drawing attention to the subject's face and attire. The overall mood is introspective and somewhat dramatic, with the subject's gaze directed towards the viewer, establishing a direct connection. The simplicity of the background enhances the focus on the subject's expression and the texture of the clothing. Unsettling atmosphere, cinematic horror aesthetic. COMPOSITION: Dynamic off-axis framing with extreme negative environmental space and an angled perspective to accentuate depth and to create visual tension. Sculptured light with negative fill. STYLE: A cinematic live-action still shot on a ARRI Alexa 65 with a 80mm prime lens. With an A24 indie aesthetic grounded in photographic realism, practical back lighting, and a professional digital-to-film grade film emulation. Shallow selective focus with subtle blurring, soft highlight bloom, gentle vignetting, and highlight halation, tactile texture." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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