seedinteger
The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.
Minimum: 0
Clarity Upscaler
clarity-ai/clarity-upscalerClarity Upscaler by ClarityAI - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.
Try the model
Playground
Input
The prompt to use for generating the image. Be as descriptive as possible for best results.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
The URL of the image to upscale.
This field is required.
Additional Settings More
Customize your input with more control.
020
The CFG (Classifier Free Guidance) scale is a measure of how close you want
the model to stick to your prompt when looking for a related image to show you. Range: 0 to 20.
450
The number of inference steps to perform. Range: 4 to 50.
The same seed and the same prompt given to the same version of Stable Diffusion
will output the same image every time. Minimum: 0.
14
The upscale factor Range: 1 to 4.
01
The resemblance of the upscaled image to the original image. The higher the resemblance, the more the model will try to keep the original image.
Refers to the strength of the ControlNet. Range: 0 to 1.
01
The creativity of the model. The higher the creativity, the more the model will deviate from the prompt.
Refers to the denoise strength of the sampling. Range: 0 to 1.
ResultIdle
Your output will appear here
Complete the inputs, then click Run.
Clarity Upscaler
Clarity Upscaler enlarges an image up to 4× while adding detail; creativity and resemblance balance new detail against faithfulness.
Fields
| Field | Type | Default | Notes |
|---|---|---|---|
prompt | string, required | masterpiece, best quality, highres | Describe the content to guide added detail. |
image | image URL, required | — | Image to upscale. JPEG, PNG, or WebP URL. |
guidance_scale | number 0–20 | 4 | How strictly to follow the prompt. |
num_inference_steps | integer 4–50 | 18 | More steps add detail and time. |
seed | integer | random | Fix it to compare prompt changes. |
upscale_factor | number 1–4 | 2 | 1–4×. |
resemblance | number 0–1 | 0.6 | Higher stays closer to the input. |
creativity | number 0–1 | 0.35 | Higher adds more invented detail. |
Billing
$0.03 per image.
| Request | Price |
|---|---|
| One image | $0.03 |
Failed runs are not charged.
Also on SandBase
Related: topaz/upscale/image.
Start building
Send your first request
Submit this model through the SandBase Unified Run API.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
-X POST "https://api.sandbase.ai/v1/run" \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "clarity-ai/clarity-upscaler",
"image": "https://static.sandbase.ai/examples/bytedance/seedvr/upscale/image/input_image_0.png",
"prompt": "masterpiece, best quality, highres",
"creativity": 0.35,
"resemblance": 0.6,
"guidance_scale": 4,
"upscale_factor": 2,
"num_inference_steps": 18
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
status=$(printf '%s' "$result" | jq -r .status)
case "$status" in completed|failed|timeout) break ;; esac
sleep 2
result=$(curl --fail-with-body --silent \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
"https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"2. Authentication
Create a SandBase API key and set it in your server environment. All requests use Bearer authentication.
export SANDBASE_API_KEY="YOUR_API_KEY"Keep the key on your server. Do not expose it in browser code or commit it to a repository.
3. Queue
Submit a request
POST to /v1/run with this model ID and its inputs. The request example above includes submission and polling.
Fetch request status and result
Use the returned run ID to poll until the status is completed, failed or timeout. Read output only after completed.
curl "https://api.sandbase.ai/v1/run/$RUN_ID" \
-H "Authorization: Bearer $SANDBASE_API_KEY"4. Files
Hosted files
Pass a publicly accessible file URL in the model’s image, video or audio field. Supported formats and limits are shown beside each Playground input.
Uploading images
Use the upload or replace control on supported image fields in the Playground. Video URL fields accept a hosted driving video; they do not imply video-upload support.
5. Schema
Input
imagestringrequired
The URL of the image to upscale.
promptstringrequired
The prompt to use for generating the image. Be as descriptive as possible for best results.
Default: "masterpiece, best quality, highres"
creativitynumber
The creativity of the model. The higher the creativity, the more the model will deviate from the prompt. Refers to the denoise strength of the sampling.
Default: 0.35
Minimum: 0
Maximum: 1
resemblancenumber
The resemblance of the upscaled image to the original image. The higher the resemblance, the more the model will try to keep the original image. Refers to the strength of the ControlNet.
Default: 0.6
Minimum: 0
Maximum: 1
guidance_scalenumber
The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
Default: 4
Minimum: 0
Maximum: 20
upscale_factornumber
The upscale factor
Default: 2
Minimum: 1
Maximum: 4
num_inference_stepsinteger
The number of inference steps to perform.
Default: 18
Minimum: 4
Maximum: 50
{
"model": "clarity-ai/clarity-upscaler",
"image": "https://static.sandbase.ai/examples/bytedance/seedvr/upscale/image/input_image_0.png",
"prompt": "masterpiece, best quality, highres",
"creativity": 0.35,
"resemblance": 0.6,
"guidance_scale": 4,
"upscale_factor": 2,
"num_inference_steps": 18
}Output
A completed run exposes its result in output. The following is the model’s saved example, not a new generation.
No example output has been published yet. Use Playground → Result → JSON after a completed run to inspect your response.