ad-ams/ppl01 πΌοΈπ’βπβ β πΌοΈ
About
Example Output
Prompt:
"βIn style of PPL01, A surreal dreamlike scene where a faceless, blue-hued humanoid figure stands on a cloudscape, gazing into a tear in the sky that reveals a dark, star-filled cosmos. The tear in the sky has a soft glow at the edges, and the figure casts a faint shadow on the clouds beneath. In a second scene, the same blue-hued figure is lying relaxed in a hammock suspended between the clouds, surrounded by a tranquil, sky-blue atmosphere. The entire setting feels serene, blending elements of sky, clouds, and cosmic mystery. The mood is contemplative and peaceful, with a mix of surrealism and space.β"
Output



Performance Metrics
29.52s
Prediction Time
36.73s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "βIn style of PPL01, A surreal dreamlike scene where a faceless, blue-hued humanoid figure stands on a cloudscape, gazing into a tear in the sky that reveals a dark, star-filled cosmos. The tear in the sky has a soft glow at the edges, and the figure casts a faint shadow on the clouds beneath. In a second scene, the same blue-hued figure is lying relaxed in a hammock suspended between the clouds, surrounded by a tranquil, sky-blue atmosphere. The entire setting feels serene, blending elements of sky, clouds, and cosmic mystery. The mood is contemplative and peaceful, with a mix of surrealism and space.β",
"lora_scale": 1,
"num_outputs": 4,
"aspect_ratio": "9:16",
"output_format": "png",
"guidance_scale": 2,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 17
}
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
Using seed: 42446 Prompt: βIn style of PPL01, A surreal dreamlike scene where a faceless, blue-hued humanoid figure stands on a cloudscape, gazing into a tear in the sky that reveals a dark, star-filled cosmos. The tear in the sky has a soft glow at the edges, and the figure casts a faint shadow on the clouds beneath. In a second scene, the same blue-hued figure is lying relaxed in a hammock suspended between the clouds, surrounded by a tranquil, sky-blue atmosphere. The entire setting feels serene, blending elements of sky, clouds, and cosmic mystery. The mood is contemplative and peaceful, with a mix of surrealism and space.β [!] txt2img mode Using dev model free=7207279542272 Downloading weights 2024-09-12T16:32:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk0wea59d/weights url=https://replicate.delivery/yhqm/ws8zxd8Jn2bHG5fRXOwXG8xLgCq2atfrr26XY8dIftAifHwNB/trained_model.tar 2024-09-12T16:32:32Z | INFO | [ Complete ] dest=/tmp/tmpk0wea59d/weights size="172 MB" total_elapsed=1.162s url=https://replicate.delivery/yhqm/ws8zxd8Jn2bHG5fRXOwXG8xLgCq2atfrr26XY8dIftAifHwNB/trained_model.tar Downloaded weights in 1.19s Loaded LoRAs in 9.78s 0%| | 0/17 [00:00<?, ?it/s] 6%|β | 1/17 [00:00<00:15, 1.03it/s] 12%|ββ | 2/17 [00:01<00:12, 1.16it/s] 18%|ββ | 3/17 [00:02<00:12, 1.09it/s] 24%|βββ | 4/17 [00:03<00:12, 1.06it/s] 29%|βββ | 5/17 [00:04<00:11, 1.05it/s] 35%|ββββ | 6/17 [00:05<00:10, 1.04it/s] 41%|ββββ | 7/17 [00:06<00:09, 1.04it/s] 47%|βββββ | 8/17 [00:07<00:08, 1.03it/s] 53%|ββββββ | 9/17 [00:08<00:07, 1.03it/s] 59%|ββββββ | 10/17 [00:09<00:06, 1.03it/s] 65%|βββββββ | 11/17 [00:10<00:05, 1.03it/s] 71%|βββββββ | 12/17 [00:11<00:04, 1.03it/s] 76%|ββββββββ | 13/17 [00:12<00:03, 1.03it/s] 82%|βββββββββ | 14/17 [00:13<00:02, 1.03it/s] 88%|βββββββββ | 15/17 [00:14<00:01, 1.03it/s] 94%|ββββββββββ| 16/17 [00:15<00:00, 1.03it/s] 100%|ββββββββββ| 17/17 [00:16<00:00, 1.03it/s] 100%|ββββββββββ| 17/17 [00:16<00:00, 1.04it/s]
Version Details
- Version ID
0aaa5dda0d6ad85874d4babbb09e38be212a818c856c7759a5e1e3604501fd2b- Version Created
- September 12, 2024