Info
https://civitai.com/models/1157409/tempest-by-vlad
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Examples: Tempest-by-Vlad - v0.1 Showcase | Civitai
Test 0 - Different seed variations
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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| CFG3.5, STEP18 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| bookshop girl | ||||
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| legs and shoes |
Test 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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Test 2 - Face and hand
Prompt: Create a close-up photograph of a woman's face and hand, with her hand raised to her chin. She is wearing a white blazer and has a gold ring on her finger. Her nails are neatly manicured and her hair is pulled back into a low bun. She is smiling and has a radiant expression on her face. The background is a plain light gray color. The overall mood of the photo is elegant and sophisticated. The photo should have a soft, natural light and a slight warmth to it. The woman's hair is dark brown and pulled back into a low bun, with a few loose strands framing her face.
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Test 3 - Legs
Prompt: Generate a photo of a woman's legs, with her feet crossed and wearing white high-heeled shoes with ribbons tied around her ankles. The shoes should have a pointed toe and a stiletto heel. The woman's legs should be smooth and tanned, with a slight sheen to them. The background should be a light gray color. The photo should be taken from a low angle, looking up at the woman's legs. The ribbons should be tied in a bow shape around the ankles. The shoes should have a red sole. The woman's legs should be slightly bent at the knee.
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Test 5 Different samplers
Prompt: photo of a cute female teal robot, walking on water surface with rocks and mountains visible in background, during sunset, rich details
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Sampler: Default Sampler: DPM2 FlowMatch Sampler: DPM2a FlowMatch Sampler: DPM2++ 2M FlowMatch Sampler: DPM2++ SDE FlowMatch Sampler: DPM2++ 2M SDE FlowMatch Sampler: DPM2++ 3M SDE FlowMatch Sampler: PeRFlow Sampler: Euler EDM |
Sampler: DPM++ Sampler: DPM++ 2M Sampler: DPM++ 3M |
Sampler: DPM++ SDE Sampler: DPM++ 2M SDE |
Sampler: DDPM |
Sampler: Euler |
Sampler: Euler a | ||
Sampler: DPM SDE |
Sampler: DPM++ 1S |
Sampler: DDIM | |
Sampler: UniPC |
Sampler: Heun |  Sampler: DEIS | |
Sampler: PNDM |
Sampler: DC Solver |
Sampler: SA Solver | Sampler: LMSD |
Sampler: LCM |
Sampler: TCD |
Sampler: TDD | |
Sampler: KDPM2 |
Sampler: KDPM2 a |
Test 5 CFG 6 vs CFG 3.5
| CFG3.5 |
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Test 6 - base vs hyper
| tempestByVlad_baseV01 [8bfad17222] | |
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Prompt: photo of a cute female teal robot, walking on water surface with rocks and mountains visible in background, during sunset, rich details Parameters: Steps: 20| Size: 1024x1024| Seed: 324| CFG scale: 3.4| App: SD.Next| Version: 57fdc0a| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222 Time: 1m 52.22s | total 127.79 pipeline 106.10 callback 8.29 preview 6.33 decode 6.08 prompt 0.69 gc 0.26 | GPU 9434 MB 8% | RAM 4.52 GB 4% |
Prompt: photo of a cute female teal robot, walking on water surface with rocks and mountains visible in background, during sunset, rich details Parameters: Steps: 8| Size: 1024x1024| Seed: 324| CFG scale: 1.6| App: SD.Next| Version: 57fdc0a| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_hyperV01| Model hash: 4104fc6601 Time: 48.30s | total 54.56 pipeline 41.99 decode 6.27 callback 3.32 preview 2.67 gc 0.27 | GPU 9434 MB 8% | RAM 4.49 GB 4% |
System info
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Mon Sep 29 13:03:03 2025 app: sdnext.git updated: 2025-09-27 hash: 57fdc0ad url: https://github.com/vladmandic/sdnext.git/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-29-generic python: 3.12.3 Torch: 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: 2.7.10+xpu ram: free:121.5 used:3.83 total:125.33 gpu: free:106.91 used:10.46 total:117.37 gpu-active: current:6.71 peak:8.0 gpu-allocated: current:6.71 peak:8.0 gpu-reserved: current:10.46 peak:10.46 gpu-inactive: current:0.5 peak:0.83 events: retries:0 oom:0 utilization: 0 xformers: diffusers: 0.36.0.dev0 transformers: 4.56.2 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: tempestByVlad_baseV01 [8bfad17222] refiner: none vae: none te: none unet: none Backend: ipex Cross-attention: Scaled-Dot-Product |
Config
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{
"theme_type": "Standard",
"diffusers_version": "1448b035859dd57bbb565239dcdd79a025a85422",
"diffusers_offload_mode": "none",
"ui_request_timeout": 300000,
"huggingface_token": "hf_xxx",
"samples_filename_pattern": "[date]-[seq]-[model_name]-[height]x[width]-Seed[seed]-CFG[cfg]-AG[pag]-STEP[steps]",
"sd_model_checkpoint": "tempestByVlad_baseV01 [8bfad17222]",
"sd_checkpoint_hash": "8bfad1722243955b3f94103c69079c280d348b14729251e86824972c1063b616",
"hf_transfer_mode": "xet",
"extra_networks_sort": "sort: no cards",
"schedulers_solver_order": 1,
"cuda_compile_backend": "none",
"diffusers_to_gpu": true,
"device_map": "gpu"
} |
Model info
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{
modelspec.usage_hint: "Flexible SDXL model with custom encoder and finetuned for larger landscape resolutions with high details and high contrast. Recommended to use medium-low step count and guidance.",
modelspec.implementation: "diffusers",
modelspec.license: "CC-BY-SA-4.0",
modelspec.date: "2025-01-17T16:03",
modelspec.title: "tempest-by-vlad",
modelspec.dtype: "float16",
recipe: {
base: "TempestV0.1-Artistic.safetensors",
unet: "default",
vae: "sdxl-vae-fp16-fix.safetensors",
te1: "ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors",
te2: "default",
scheduler: "UniPCMultistepScheduler",
lora: [
0: "offset-example-1.0.safetensors:0.25",
1: "hyper-sdxl-8step.safetensors:0.25",
2: "add-detail-xl.safetensors:2.0"
]
},
modelspec.prediction_type: "epsilon",
modelspec.thumbnail: "data",
modelspec.sai_model_spec: "1.0.0",
modelspec.version: "0.1",
modelspec.hash_sha256: "ce49361cbf77bc591552ca3efa3b29ea10539aa4ba7741cf966f6b9ea7be7c1f",
modelspec.author: "vladmandic",
modelspec.description: "Tempest by VladMandic",
modelspec.architecture: "stable-diffusion-xl-v1-base"
} |
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