alexis-bledel-flux

👑 Alexis Bledel (Flux) 🎬

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Model description

<h1 id="***-if-you-love-it-like-it!-***-5tg4sadq3">👍 <span style="color:rgb(64, 192, 87)">***</span> <strong><em><span style="color:rgb(34, 139, 230)">If you love it, like it!</span></em></strong> <span style="color:rgb(64, 192, 87)">***</span>👍</h1><p><em>workflow: </em><a target="_blank" rel="ugc" href="https://civitai.com/models/1088678"><em>https://civitai.com/models/1088678</em></a></p><h1 id="alexis-bledel-qhznmni2k"><span style="color:rgb(121, 80, 242)">👑 Alexis Bledel </span>🎬</h1><p><strong>About my celebrities loras</strong><br />90% of the dataset used to build my loras only use head images. That really help the blend with other lora or model as there is no hands, feet, that may or will interfere in the final image render. When you get distorted hands with a person lora, it's because there is info on hands in the dataset used to train the lora, but that will not happen with my loras.</p><p>I've trained on Flux.1 Dev so other merged or trained checkpoint may not work well with my loras.</p><p>The drawback side of that is that the body may not be reflecting the reality. It may not be a drawback tho.</p><p></p><p>This is a lora for Flux.1 Dev. Work with other model but you must drop some simple bloc (good start 19-32).</p><p>Trained with ai-toolkit, so merging it is not easy.</p><p></p><p><strong>To get the best result</strong></p><p><em>Guidance: </em><strong><em>2.2-3</em></strong></p><p><em>Steps (dev): </em><strong><em>30-40</em></strong></p><p><em>daemon detailer (lying sigma sampler): factor: -0.02, start 0.06, end 0.75</em></p><p><em>Resolution: </em><strong><em>Upscale the latent by 1.25 or 1.5</em></strong><em> you'll get awsome result. (take longer time but worth it)</em></p><p><em>Trigger word is (may work better in certain context): </em><strong><em>ohwx</em></strong></p><p></p><p>Enjoy!</p>

Trigger words

You should use ohwx to trigger the image generation.

Download model

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

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/alexis-bledel-flux', weight_name='AlexisBledel_flux_lora_v1.safetensors')
image = pipeline('Breathtaking iphone photo of a skinny ohwx young woman, (BodyOnly1:1.3), (ultra low waist:1.1), bare shoulder, She has long hair and is smiling at the camera. ultra narrow waist, large breasts, The background is blurred, she have long thin and slim legs, she is standing in a side view with her Sexy Ass up. hand on hip, she is wearing a tight dark blue jeans with a brown leather belt , (Deep V-neck velvet tank with shimmering sequins and backless:1.3), Smoking volcanoes dominate the landscape with their imposing silhouette, wearing a p1nkcryst4ll30t4rd, leotard, high-heels, perfectly sharp and realistic textures, fine hair details, on focus, 8k uhd, dslr, soft lighting, ultra high quality image, film grain, Fujifilm XT3').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers