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sdkit 2.0.6 - Fix broken VAE tiling
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@ -17,6 +17,7 @@
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- **Major rewrite of the code** - We've switched to using diffusers under-the-hood, which allows us to release new features faster, and focus on making the UI and installer even easier to use.
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### Detailed changelog
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* 3.0.2 - 30 Aug 2023 - Fix broken VAE tiling. This allows you to create larger images with lesser VRAM usage.
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* 3.0.2 - 30 Aug 2023 - Allow blocking NSFW images using a server-side config. This prevents the browser from generating NSFW images or changing the config. Open `config.yaml` in a text editor (e.g. Notepad), and add `block_nsfw: true` at the end, and save the file.
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* 3.0.2 - 29 Aug 2023 - Fixed incorrect matching of embeddings from prompts.
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* 3.0.2 - 24 Aug 2023 - Fix broken seamless tiling.
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@ -26,7 +26,7 @@ class GenerateImageRequest(BaseModel):
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sampler_name: str = None # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
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hypernetwork_strength: float = 0
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lora_alpha: Union[float, List[float]] = 0
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tiling: str = "none" # "none", "x", "y", "xy"
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tiling: str = None # None, "x", "y", "xy"
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class FilterImageRequest(BaseModel):
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@ -268,7 +268,11 @@ const TASK_MAPPING = {
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tiling: {
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name: "Tiling",
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setUI: (val) => {
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if (val === null || val === "None") {
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tilingField.value = "none"
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} else {
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tilingField.value = val
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}
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},
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readUI: () => tilingField.value,
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parse: (val) => val,
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@ -583,6 +587,7 @@ const TASK_TEXT_MAPPING = {
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lora_alpha: "LoRA Strength",
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use_controlnet_model: "ControlNet model",
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control_filter_to_apply: "ControlNet Filter",
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tiling: "Seamless Tiling",
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}
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function parseTaskFromText(str) {
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const taskReqBody = {}
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@ -680,7 +680,7 @@ function getAllModelNames(type) {
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// gets a flattened list of all models of a certain type. e.g. "path/subpath/modelname"
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// use the filter to search for all models having a certain name.
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function getAllModelPathes(type,filter="") {
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function getAllModelPathes(type, filter = "") {
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function f(tree, prefix) {
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if (tree == undefined) {
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return []
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@ -690,7 +690,7 @@ function getAllModelPathes(type,filter="") {
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if (typeof e == "object") {
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result = result.concat(f(e[1], prefix + e[0] + "/"))
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} else {
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if (filter=="" || e==filter) {
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if (filter == "" || e == filter) {
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result.push(prefix + e)
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}
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}
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@ -700,7 +700,6 @@ function getAllModelPathes(type,filter="") {
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return f(modelsOptions[type], "")
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}
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function onUseAsThumbnailClick(req, img) {
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let scale = 1
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let targetWidth = img.naturalWidth
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@ -1237,7 +1236,6 @@ function getCurrentUserRequest() {
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//render_device: undefined, // Set device affinity. Prefer this device, but wont activate.
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use_stable_diffusion_model: stableDiffusionModelField.value,
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clip_skip: clipSkipField.checked,
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tiling: tilingField.value,
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use_vae_model: vaeModelField.value,
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stream_progress_updates: true,
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stream_image_progress: numOutputsTotal > 50 ? false : streamImageProgressField.checked,
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@ -1302,6 +1300,10 @@ function getCurrentUserRequest() {
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newTask.reqBody.use_lora_model = modelNames
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newTask.reqBody.lora_alpha = modelStrengths
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}
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if (tilingField.value !== "none") {
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newTask.reqBody.tiling = tilingField.value
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}
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}
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if (testDiffusers.checked && document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
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// TRT is installed
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