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Keltezaa/kristen-stewart
kristen-stewart is a text-to-image model from Keltezaa. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
Downloads · 30 days
48
3% of all-time downloads
All-time downloads
1.8K
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.safetensors9.7 MB · 93%
From the Hugging Face model README
(CivitAI)
You should use kristen_stewart to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
from diffusers import AutoPipelineForText2Image
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/kristen-stewart', weight_name='KristenStewartF1D.safetensors')
image = pipeline('kristen_stewart with light olive skin and shoulder-length, wavy brown hair. She is posed in a semi-profile, with her right arm raised and her hand resting on her head, while her left arm is bent and her hand clasps her opposite shoulder. Her facial expression is calm and slightly contemplative, with dark, well-defined eyebrows, full lips, and subtle, natural makeup that highlights her almond-shaped brown eyes. She wears a mustard-yellow halter top that exposes her shoulders, with a thin, delicate gold bracelet adorning her left wrist. The background features an out-of-focus, beige-colored archway, possibly in a historical or architectural setting, suggesting an old-world charm. The lighting is soft and diffused, enhancing the natural tones of her skin and hair, and creating a warm, inviting atmosphere. The overall composition emphasizes the subject's delicate features and serene demeanor, set against a backdrop that adds depth and historical elegance to the image.').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers