buzzfeed/disney1950s 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"
Create an animated Disney princess version of Zendaya in the classic, hand-drawn Disney style from the 1930s to 1950s, reminiscent of films like Snow White and the Seven Dwarfs, Cinderella, and Sleeping Beauty. The character should retain Zendaya’s defining facial features, including her striking bone structure, expressive almond-shaped eyes, full lips, and radiant complexion, while seamlessly blending into the vintage Disney aesthetic.
Her princess gown should reflect her iconic fashion sense, incorporating elements of her bold red carpet elegance and effortless, modern-classic style while maintaining the graceful simplicity of early Disney princesses. The design should feature flowing, regal fabrics, intricate draping, and timeless embellishments, balancing Old Hollywood glamour with Zendaya’s signature sophisticated yet daring looks. The color palette should be slightly muted yet harmonious, using traditional cel-shading and hand-painted textures for an authentic golden-age Disney feel.
The setting should be a storybook castle, enchanted forest, or grand ballroom, evoking the nostalgic charm of classic Disney films. The background should have hand-painted, watercolor-like textures, ensuring it feels like an authentic scene from a vintage Disney movie. The overall aesthetic should merge Disney’s timeless fairy-tale magic with Zendaya’s modern grace and effortless beauty, all in the distinct animation style of VNTGEDSNY
"Output
Performance Metrics
7.13s
Prediction Time
7.14s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "Create an animated Disney princess version of Zendaya in the classic, hand-drawn Disney style from the 1930s to 1950s, reminiscent of films like Snow White and the Seven Dwarfs, Cinderella, and Sleeping Beauty. The character should retain Zendaya’s defining facial features, including her striking bone structure, expressive almond-shaped eyes, full lips, and radiant complexion, while seamlessly blending into the vintage Disney aesthetic.\n\nHer princess gown should reflect her iconic fashion sense, incorporating elements of her bold red carpet elegance and effortless, modern-classic style while maintaining the graceful simplicity of early Disney princesses. The design should feature flowing, regal fabrics, intricate draping, and timeless embellishments, balancing Old Hollywood glamour with Zendaya’s signature sophisticated yet daring looks. The color palette should be slightly muted yet harmonious, using traditional cel-shading and hand-painted textures for an authentic golden-age Disney feel.\n\nThe setting should be a storybook castle, enchanted forest, or grand ballroom, evoking the nostalgic charm of classic Disney films. The background should have hand-painted, watercolor-like textures, ensuring it feels like an authentic scene from a vintage Disney movie. The overall aesthetic should merge Disney’s timeless fairy-tale magic with Zendaya’s modern grace and effortless beauty, all in the distinct animation style of VNTGEDSNY",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
- width
- Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- height
- Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- prompt (required)
- Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
- go_fast
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- lora_scale
- Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- megapixels
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- prompt_strength
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- replicate_weights
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- num_inference_steps
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Weights already loaded Loaded LoRAs in 0.02s Using seed: 34384 Prompt: Create an animated Disney princess version of Zendaya in the classic, hand-drawn Disney style from the 1930s to 1950s, reminiscent of films like Snow White and the Seven Dwarfs, Cinderella, and Sleeping Beauty. The character should retain Zendaya’s defining facial features, including her striking bone structure, expressive almond-shaped eyes, full lips, and radiant complexion, while seamlessly blending into the vintage Disney aesthetic. Her princess gown should reflect her iconic fashion sense, incorporating elements of her bold red carpet elegance and effortless, modern-classic style while maintaining the graceful simplicity of early Disney princesses. The design should feature flowing, regal fabrics, intricate draping, and timeless embellishments, balancing Old Hollywood glamour with Zendaya’s signature sophisticated yet daring looks. The color palette should be slightly muted yet harmonious, using traditional cel-shading and hand-painted textures for an authentic golden-age Disney feel. The setting should be a storybook castle, enchanted forest, or grand ballroom, evoking the nostalgic charm of classic Disney films. The background should have hand-painted, watercolor-like textures, ensuring it feels like an authentic scene from a vintage Disney movie. The overall aesthetic should merge Disney’s timeless fairy-tale magic with Zendaya’s modern grace and effortless beauty, all in the distinct animation style of VNTGEDSNY [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.03it/s] 7%|▋ | 2/28 [00:00<00:05, 4.56it/s] 11%|█ | 3/28 [00:00<00:05, 4.30it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.19it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.13it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.10it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.08it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.06it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.05it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.04it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.04it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.04it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.04it/s] 50%|█████ | 14/28 [00:03<00:03, 4.04it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.04it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.03it/s] 61%|██████ | 17/28 [00:04<00:02, 4.03it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.03it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.03it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.03it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.04it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.04it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.04it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.03it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.03it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.03it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.04it/s] 100%|██████████| 28/28 [00:06<00:00, 4.04it/s] 100%|██████████| 28/28 [00:06<00:00, 4.06it/s] Total safe images: 1 out of 1
Version Details
- Version ID
958a472d567ab1f0a597e3bf812e0028d27e7500865a44b1889a25b340712a52- Version Created
- February 18, 2025