diff --git a/.gitignore b/.gitignore index 976a184..48bf3ba 100644 --- a/.gitignore +++ b/.gitignore @@ -153,3 +153,4 @@ dmypy.json cython_debug/ .idea/ +preview/ \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md index 42c1432..8b15cb9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,4 +1,26 @@ # Change Log +## v1.3.0 +> Starting from this version, to support auto-detection on Civitai, `calculate_model_hash` will be renamed as +> `calculate_hash` and it will be enabled by default. Due to the addition of temporary storage of the model hash values, +> the first image generated after switching to the new model will take more time to calculate the hash value, +> but it will not affect the generation speed afterwards until the server is restarted. + +- Add `Lora Loader` node and `Lora Selector` node +- Add `VAE_NAME` output to the `Parameter Generator` node and add `vae_name` input to the `Prompt Saver` node #39 +- Add `lora_name` input to the `Prompt Saver` node +- Add `resource_hash` switch to the `Prompt Saver` node +- Add resources hashes to metadata for auto-detection on Civitai #35 +- Add temporary storage for model hashes +- Add `WEB_DIRECTORY` and remove old js directory +- Fix adding the `Parameter Generator` node to a workflow disables the queue button #45 +- Fix the `Parameter Generator` node doesn't load seed value from generated images #44 +- Fix the input validation of the `Batch Loader` node #37 #38 +- Fix the parsing error caused by the loss of model data #43 +- Fix the error message caused by aspect_ratio +- Rename `calculate_model_hash` as `calculate_hash` +- Update seedGen.js to rgthree's latest code +- Update core to cc3c8b2 + ## v1.2.1 - Fix the input validation of the `Prompt Reader` node #37 - Fix the `Batch Loader` node not working when not connected to any node diff --git a/README.md b/README.md index ead9a4b..b014bf1 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ additional metadata to ensure compatibility with metadata detection on websites Change Log • Credits

- + @@ -66,6 +66,10 @@ git pull --recurse-submodules ## Usage ### Prompt Reader Node +
+ reader node +
+ - The `Prompt Reader` Node works exactly the same as the [standalone SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader). It uses the Image Data Reader from the @@ -74,13 +78,30 @@ allowing it to support the same formats and receive updates along with the [SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader). - Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader's ability to read image metadata correctly, it is recommended to embed the `Prompt Saver` Node within the workflow -to ensure maximum compatibility. +to ensure maximum compatibility. +
+ More Information + +#### `parameter_index` - For images containing multiple sets of parameters, such as those processed through `hires-fix` or `refiner`, you will need to modify the `parameter_index` to select the parameters you need +#### SDXL - For images generated by SDXL and containing multiple sets of prompts, the `text_g` will be combined with `text_l` into a single prompt -- For batch processing, please use the `Batch Loader` node. +#### Batch Read +- For batch processing, please use the `Batch Loader` node. When using the `Batch Loader` node for bulk reading, +the preview image will not update, and the text box will only display the metadata of the last image. +
+ connect batch loader to prompt reader +
+ +#### Additional Parameters - To read parameters other than the existing output, please connect the `settings` to the `Parameter Extractor` node. +
+ connect prompt reader to parameter extractor +
+ +#### `MODEL_NAME` - `MODEL_NAME` is a special output that matches the model name in the metadata with the existing models on the server according to the following priority: 1. Identical path, filename, and extension. @@ -90,108 +111,198 @@ e.g. `sd_xl_base.safetensors` will be matched with `SDXL\sd_xl_base.safetensors` e.g. `sd_xl_base` will be matched with `SDXL\sd_xl_base.safetensors`, and vice versa. 4. If a matching model cannot be found, the original name will be outputted. -
- reader node -
+
### Prompt Saver Node -- The `Prompt Saver` Node and The `Parameter Generator` Node are designed to be used together. -- The `Prompt Saver` Node will write additional metadata in the A1111 format to the output images -to be compatible with any tools that support the A1111 format, -including SD Prompt Reader and Civitai. -Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader's ability -to read image metadata correctly, it is recommended to embed this node within the workflow -to ensure maximum compatibility. -- Since it's not possible to directly extract metadata from `KSampler`, it is necessary to -use the `Parameter Generator` Node to generate parameters and simultaneously output them to both -the `Prompt Saver` Node and `KSampler`. -- Please refer to the following table for placeholders supported by the `filename` and `path`. - - | Placeholder | - |-------------| - | %date | - | %time | - | %counter | - | %seed | - | %steps | - | %cfg | - | %extension | - | %model | - | %sampler | - | %scheduler | - | %quality | -- `%counter` cannot be used for the `path`. This `%counter` is slightly different from the `%counter` -in the built-in Saver node, it will count all image files in the `path`. -- When the filename already exists, an index will be added at the end of the filename, -e.g. `file.png, file_1.png, file_2.png`. -- For the `date_format` and `time_format`, please refer to -[strftime.org](https://strftime.org/) or [www.strfti.me](https://www.strfti.me/). -- When the `save_metadata_file` is turned on, the metadata will be saved as a TXT file with the same name -alongside the image. -
saver node
-## Parameter Generator Node -- Since it's not possible to directly extract metadata from `KSampler`, it is necessary to -use the `Parameter Generator` Node to generate parameters and simultaneously output them to both -the `Prompt Saver` Node and `KSampler`. -- The `Parameter Generator` Node can also be used as a control panel for complex ComfyUI workflows, just like the [AP workflow](https://perilli.com/ai/comfyui/). -- The `model_version` and `aspect_ratio` are used only for calculating the optimal resolution of the selected model version -under the chosen aspect ratio. The calculation method is based on the -[Stability AI development documentation](https://platform.stability.ai/docs/features/api-parameters#about-dimensions) -and the [StableSwarmUI source code](https://github.com/Stability-AI/StableSwarmUI) (developed by Stability AI). -- `refiner_start` refers to the proportion of steps completed when the refiner starts running, -i.e., the proportion of base steps to total steps. This is used to calculate the `start_at_step` (`REFINER_START_STEP`) -required by the refiner `KSampler` under the selected step ratio. +- The `Prompt Saver` Node and the `Parameter Generator` Node are designed to be used together. +- The `Prompt Saver` Node will write additional metadata in the A1111 format to the output images +to be compatible with any tools that support the A1111 format, +including SD Prompt Reader and Civitai. +Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader's ability +to read image metadata correctly, it's recommended to embed this node within the workflow +to ensure maximum compatibility. +- Since it's not possible to directly extract metadata from `KSampler`, it's necessary to +use the `Parameter Generator` Node to generate parameters and simultaneously output them to +the `Prompt Saver` Node and `KSampler` Node. +
+ More Information + +#### Duplicate Filename +- When the filename already exists, an index will be added at the end of the filename, +e.g. `file.png, file_1.png, file_2.png`. +#### Hashes & Auto-Detection on Civitai +- When `calculate_hash` is enabled, the node will compute the hash values of checkpoint, VAE, Lora, +and embedding/Textual Inversion, and write them into the metadata. After the server restarts, or a new checkpoint, +VAE, Lora, or embedding/Textual Inversion is loaded, the first image generation may take a longer time for hash calculation. +The hash value will be stored in temporary storage without the need for repeated calculation, +until the server is restarted. +- When `resource_hash` is enabled, the resource hashes will be written into the metadata to support auto-detection +on Civitai. This function will only run when `calculate_hash` is enabled. +- If you need to calculate the hash of Lora, please use the `Lora Loader` Node or the `Lora Selector` Node. +The hash value of the embedding/Textual Inversion will be automatically detected from the prompt. +#### `save_metadata_file` +- When the `save_metadata_file` is turned on, the metadata will be saved as a TXT file with the same name +alongside the image. +#### `date_format` & `time_format` +- For the `date_format` and `time_format`, please refer to +[strftime.org](https://strftime.org/) or [www.strfti.me](https://www.strfti.me/). +#### `filename` & `path` +- `%counter` cannot be used for `path`, it can only be used for `filename`. This `%counter` is slightly different +from the `%counter` in the built-in `Saver` node, it will count all image files in the `path`. +- Please refer to the following table for placeholders supported by the `filename` and `path`. + + | | | + |------------|------------| + | %seed | %date | + | %steps | %time | + | %cfg | %counter | + | %model | %extension | + | %sampler | %quality | + | %scheduler | | + +
+ +### Parameter Generator Node
generator node
+- Since it's not possible to directly extract metadata from `KSampler`, it's necessary to +use the `Parameter Generator` Node to generate parameters and simultaneously output them to both +the `Prompt Saver` Node and `KSampler` Node. +- The `Parameter Generator` Node can also be used as a control panel for complex ComfyUI workflows, just like the [AP workflow](https://perilli.com/ai/comfyui/). +
+ More Information + +#### Optimal Resolution +- The `model_version` and `aspect_ratio` are used only for calculating the optimal resolution of the selected +model version under the chosen aspect ratio. The calculation method is based on the +[Stability AI development documentation](https://platform.stability.ai/docs/features/api-parameters#about-dimensions) +and the [StableSwarmUI source code](https://github.com/Stability-AI/StableSwarmUI) (developed by Stability AI). +#### `refiner_start` +- `refiner_start` refers to the proportion of steps completed when the refiner starts running, +i.e., the proportion of base steps to total steps. This is used to calculate the `start_at_step` (`REFINER_START_STEP`) +required by the refiner `KSampler` under the selected step ratio. + +
+ ### Batch Loader Node +
+ loader node +
+ - The `Batch Loader` Node is specifically designed for the `Prompt Reader` Node to batch-read image files in a directory and cannot be used with other custom nodes. +
+ More Information + - For batch processing, please connect the `IMAGE` output of the `Batch Loader` Node to the `image` input of the `Prompt Reader` Node. +
+ connect prompt reader to parameter extractor +
+ +#### `path` - The `path` supports relative paths such as `./input/` or absolute paths like `C:/Users/receyuki/Pictures`. - Both `\ ` and `/` are acceptable. - You can also input a single file or a list of files into the `path`, in which case the `image_load_limit` and `start_index` will not function. -
- loader node -
+
### Parameter Extractor Node -- The `Parameter Extractor` Node is an extension of the `Prompt Reader` Node, designed to retrieve the values -of all parameters in the settings (including those parameters that the `Prompt Reader` Node cannot output). -e.g. `Hires upscaler` -- Connect the `SETTINGS` of the `Prompt Reader` Node to the `settings` of the `Parameter Extractor` Node. -After the first run, the parameter list will be loaded. -
extractor node
+- The `Parameter Extractor` Node is an extension of the `Prompt Reader` Node, designed to retrieve the values +of all parameters in the settings (including those parameters that the `Prompt Reader` Node cannot output). +e.g. `Hires upscaler` +
+ More Information + +- Connect the `SETTINGS` of the `Prompt Reader` Node to the `settings` of the `Parameter Extractor` Node. +After the first run, the parameter list will be loaded. +
+ connect prompt reader to parameter extractor +
+
+ ### Prompt Merger Node & Type Converter Node +
+ merger and converter node +
+ - Since the A1111 format cannot store `text_g` and `text_l` separately, SDXL users need to use the `Prompt Merger` Node to combine `text_g` and `text_l` into a single prompt. - Since `model_name`, `sampler_name`, and `scheduler` are special types that cannot be directly used by some other nodes, You can use the `Type Converter` Node to convert them into `STRING` type. +### Lora Loader Node & Lora Selector Node
- merger and converter node + lora loader and selector node
-### [Example Workflow](https://raw.githubusercontent.com/receyuki/comfyui-prompt-reader-node/main/workflows/example_workflow.json) +- The `Lora Loader` Node and `Lora Selector` Node are used to write Lora data into metadata and support auto-detection +on Civitai. +
+ More Information +- Replace the original loader with the `Lora Loader` Node, or connect the `LORA_NAME` output of the `Lora Selector` Node +to the `lora_name` input of other lora loaders (built-in or custom), and link the `NEXT_LORA` output to the `lora_name` +input of the `Prompt Saver` Node. Both of these nodes have the same function, please choose according to your needs. +#### Multiple Loras +- If you need to load multiple Loras, please connect the `Lora Loader` Node or `Lora Selector` Node head to tail +through `last_lora` and `NEXT_LORA`, and connect the `NEXT_LORA` at the end of the Lora chain to the `lora_name` input +of the `Prompt Saver` Node. +1. Lora Loader chain
- example workflow + lora loader chain
+2. Lora Selector chain +
+ lora loader chain +
+ +
+ +### Example Workflow +
+ Simple Example +
+ example workflow +
+
+ +
+ Lora Example +
+ example workflow +
+
+ +
+ Hires-fix Example +
+ example workflow +
+
+ +
+ SDXL Example +
+ example workflow +
+
+ + ## Credits - The SD Prompt Reader node is based on [ComfyUI Load Image With Metadata](https://github.com/tkoenig89/ComfyUI_Load_Image_With_Metadata) - The SD Prompt Saver node is based on [Comfy Image Saver](https://github.com/giriss/comfy-image-saver) & [Stable Diffusion Webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) diff --git a/images/example_workflow.png b/images/example_workflow.png deleted file mode 100644 index d1499dd..0000000 Binary files a/images/example_workflow.png and /dev/null differ diff --git a/images/generator.png b/images/generator.png index bdb6d8d..eef1372 100644 Binary files a/images/generator.png and b/images/generator.png differ diff --git a/images/loader2reader.png b/images/loader2reader.png new file mode 100644 index 0000000..7099d8c Binary files /dev/null and b/images/loader2reader.png differ diff --git a/images/lora.png b/images/lora.png new file mode 100644 index 0000000..e4b9849 Binary files /dev/null and b/images/lora.png differ diff --git a/images/lora_loader_chain.png b/images/lora_loader_chain.png new file mode 100644 index 0000000..3421fdd Binary files /dev/null and b/images/lora_loader_chain.png differ diff --git a/images/lora_selector_chain.png b/images/lora_selector_chain.png new file mode 100644 index 0000000..137dbf4 Binary files /dev/null and b/images/lora_selector_chain.png differ diff --git a/images/reader2extractor.png b/images/reader2extractor.png new file mode 100644 index 0000000..5aba8f2 Binary files /dev/null and b/images/reader2extractor.png differ diff --git a/images/saver.png b/images/saver.png index 6c0aa09..16d0367 100644 Binary files a/images/saver.png and b/images/saver.png differ diff --git a/images/screenshot_v130.png b/images/screenshot_v130.png new file mode 100644 index 0000000..4794a8f Binary files /dev/null and b/images/screenshot_v130.png differ diff --git a/workflows/hires_fix_example.json b/workflows/hires_fix_example.json new file mode 100644 index 0000000..85800ac --- /dev/null +++ b/workflows/hires_fix_example.json @@ -0,0 +1,2072 @@ +{ + "last_node_id": 21, + "last_link_id": 84, + "nodes": [ + { + "id": 12, + "type": "SDLoraSelector", + "pos": [ + 1780, + 130 + ], + "size": { + "0": 320, + "1": 80 + }, + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [ + { + "name": "last_lora", + "type": "*", + "link": 44 + } + ], + "outputs": [ + { + "name": "LORA_NAME", + "type": "COMBO", + "links": [ + 45 + ], + "shape": 3, + "slot_index": 0 + }, + { + "name": "NEXT_LORA", + "type": "*", + "links": [ + 53 + ], + "shape": 3, + "slot_index": 1 + } + ], + "properties": { + "Node name for S&R": "SDLoraSelector" + }, + "widgets_values": [ + "fashigirl-v6-nai-5ep-resize.safetensors" + ] + }, + { + "id": 13, + "type": "LoraLoader", + "pos": [ + 2200, + 130 + ], + "size": { + "0": 320, + "1": 122 + }, + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 47 + }, + { + "name": "clip", + "type": "CLIP", + "link": 46, + "slot_index": 1 + }, + { + "name": "lora_name", + "type": "COMBO", + "link": 45, + "widget": { + "name": "lora_name" + } + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 48 + ], + "shape": 3, + "slot_index": 0 + }, + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 51, + 52 + ], + "shape": 3, + "slot_index": 1 + } + ], + "properties": { + "Node name for S&R": "LoraLoader" + }, + "widgets_values": [ + "104V2.safetensors", + 0.6, + 1 + ] + }, + { + "id": 11, + "type": "SDLoraLoader", + "pos": [ + 1360, + 130 + ], + "size": { + "0": 320, + "1": 150 + }, + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 49 + }, + { + "name": "clip", + "type": "CLIP", + "link": 50, + "slot_index": 1 + }, + { + "name": "last_lora", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 47 + ], + "shape": 3, + "slot_index": 0 + }, + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 46 + ], + "shape": 3 + }, + { + "name": "NEXT_LORA", + "type": "*", + "links": [ + 44 + ], + "shape": 3, + "slot_index": 2 + } + ], + "properties": { + "Node name for S&R": "SDLoraLoader" + }, + "widgets_values": [ + "koreandolllikenessV20_v20.safetensors", + 0.3, + 1 + ] + }, + { + "id": 10, + "type": "SDBatchLoader", + "pos": [ + 100, + 130 + ], + "size": { + "0": 315, + "1": 148 + }, + "flags": {}, + "order": 0, + "mode": 0, + "outputs": [ + { + "name": "IMAGE", + "type": "*", + "links": [ + 55 + ], + "shape": 6, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "SDBatchLoader" + }, + "widgets_values": [ + "./input/", + 1, + 1, + "input\\00067-2302238556.png" + ] + }, + { + "id": 5, + "type": "EmptyLatentImage", + "pos": [ + 1360, + 410 + ], + "size": { + "0": 320, + "1": 74 + }, + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "name": "width", + "type": "INT", + "link": 58, + "widget": { + "name": "width" + } + }, + { + "name": "height", + "type": "INT", + "link": 59, + "widget": { + "name": "height" + }, + "slot_index": 1 + }, + { + "name": "batch_size", + "type": "INT", + "link": 4, + "widget": { + "name": "batch_size" + } + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 10 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "EmptyLatentImage" + }, + "widgets_values": [ + 512, + 512, + 1 + ] + }, + { + "id": 16, + "type": "ImageUpscaleWithModel", + "pos": [ + 3880, + 130 + ], + "size": { + "0": 320, + "1": 50 + }, + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "upscale_model", + "type": "UPSCALE_MODEL", + "link": 60 + }, + { + "name": "image", + "type": "IMAGE", + "link": 75 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 61 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "ImageUpscaleWithModel" + } + }, + { + "id": 15, + "type": "UpscaleModelLoader", + "pos": [ + 100, + 408 + ], + "size": { + "0": 320, + "1": 60 + }, + "flags": {}, + "order": 1, + "mode": 0, + "outputs": [ + { + "name": "UPSCALE_MODEL", + "type": "UPSCALE_MODEL", + "links": [ + 60 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "UpscaleModelLoader" + }, + "widgets_values": [ + "RealESRGAN_x4plus.pth" + ] + }, + { + "id": 19, + "type": "VAEEncode", + "pos": [ + 4720, + 130 + ], + "size": { + "0": 320, + "1": 50 + }, + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "pixels", + "type": "IMAGE", + "link": 63 + }, + { + "name": "vae", + "type": "VAE", + "link": 67 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 65 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "VAEEncode" + } + }, + { + "id": 6, + "type": "CLIPTextEncode", + "pos": [ + 2620, + 130 + ], + "size": { + "0": 320, + "1": 54 + }, + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 51, + "slot_index": 0 + }, + { + "name": "text", + "type": "STRING", + "link": 5, + "widget": { + "name": "text" + }, + "slot_index": 1 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 36, + 73 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ] + }, + { + "id": 7, + "type": "CLIPTextEncode", + "pos": [ + 2620, + 314 + ], + "size": { + "0": 320, + "1": 54 + }, + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 52, + "slot_index": 0 + }, + { + "name": "text", + "type": "STRING", + "link": 6, + "widget": { + "name": "text" + } + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 35, + 74 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for 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b/workflows/sdxl_example.png new file mode 100644 index 0000000..c0d881a Binary files /dev/null and b/workflows/sdxl_example.png differ diff --git a/workflows/example_workflow.json b/workflows/simple_example.json similarity index 83% rename from workflows/example_workflow.json rename to workflows/simple_example.json index 704ea2b..36b7331 100644 --- a/workflows/example_workflow.json +++ b/workflows/simple_example.json @@ -1,13 +1,103 @@ { - "last_node_id": 10, - "last_link_id": 56, + "last_node_id": 8, + "last_link_id": 40, "nodes": [ { - "id": 4, + "id": 6, + "type": "CLIPTextEncode", + "pos": [ + 520, + 130 + ], + "size": { + "0": 320, + "1": 54 + }, + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 7, + "slot_index": 0 + }, + { + "name": "text", + "type": "STRING", + "link": 5, + "widget": { + "name": "text" + }, + "slot_index": 1 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 36 + ], + "shape": 3 + } + ], + "properties": { + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ] + }, + { + "id": 8, + "type": "VAEDecode", + "pos": [ + 1360, + 130 + ], + "size": { + "0": 320, + "1": 50 + }, + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 13 + }, + { + "name": "vae", + "type": "VAE", + "link": 12, + "slot_index": 1 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 14 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "VAEDecode" + } + }, + { + "id": 5, "type": "EmptyLatentImage", "pos": [ - 840, - 500 + 520, + 498 ], "size": { "0": 320, @@ -20,7 +110,7 @@ { "name": "width", "type": "INT", - "link": 10, + "link": 21, "widget": { "name": "width" } @@ -28,15 +118,16 @@ { "name": "height", "type": "INT", - "link": 11, + "link": 22, "widget": { "name": "height" - } + }, + "slot_index": 1 }, { "name": "batch_size", "type": "INT", - "link": 9, + "link": 4, "widget": { "name": "batch_size" } @@ -47,7 +138,7 @@ "name": "LATENT", "type": "LATENT", "links": [ - 23 + 10 ], "shape": 3, "slot_index": 0 @@ -63,398 +154,7 @@ ] }, { - "id": 7, - "type": "CLIPTextEncode", - "pos": [ - 840, - 650 - ], - "size": { - "0": 320, - "1": 54 - }, - "flags": {}, - "order": 3, - "mode": 0, - "inputs": [ - { - "name": "clip", - "type": "CLIP", - "link": 32 - }, - { - "name": "text", - "type": "STRING", - "link": 37, - "widget": { - "name": "text" - } - } - ], - "outputs": [ - { - "name": "CONDITIONING", - "type": "CONDITIONING", - "links": [ - 18 - ], - "shape": 3, - "slot_index": 0 - } - ], - "properties": { - "Node name for S&R": "CLIPTextEncode" - }, - "widgets_values": [ - "" - ] - }, - { - "id": 5, - "type": "VAEDecode", - "pos": [ - 840, - 910 - ], - "size": { - "0": 320, - "1": 50 - }, - "flags": {}, - "order": 6, - "mode": 0, - "inputs": [ - { - "name": "samples", - "type": "LATENT", - "link": 22, - "slot_index": 0 - }, - { - "name": "vae", - "type": "VAE", - "link": 21 - } - ], - "outputs": [ - { - "name": "IMAGE", - "type": "IMAGE", - "links": [ - 42 - ], - "shape": 3, - "slot_index": 0 - } - ], - "properties": { - "Node name for S&R": "VAEDecode" - } - }, - { - "id": 6, - "type": "CLIPTextEncode", - "pos": [ - 840, - 780 - ], - "size": { - "0": 320, - "1": 54 - }, - "flags": {}, - "order": 2, - "mode": 0, - "inputs": [ - { - "name": "clip", - "type": "CLIP", - "link": 20, - "slot_index": 0 - }, - { - "name": "text", - "type": "STRING", - "link": 38, - "widget": { - "name": "text" - }, - "slot_index": 1 - } - ], - "outputs": [ - { - "name": "CONDITIONING", - "type": "CONDITIONING", - "links": [ - 39 - ], - "shape": 3, - "slot_index": 0 - } - ], - "properties": { - "Node name for S&R": "CLIPTextEncode" - }, - "widgets_values": [ - "" - ] - }, - { - "id": 8, - "type": "KSamplerAdvanced", - "pos": [ - 840, - 130 - ], - "size": { - "0": 320, - "1": 290 - }, - "flags": {}, - "order": 5, - "mode": 0, - "inputs": [ - { - "name": "model", - "type": "MODEL", - "link": 17 - }, - { - "name": "positive", - "type": "CONDITIONING", - "link": 18 - }, - { - "name": "negative", - "type": "CONDITIONING", - "link": 39 - }, - { - "name": "latent_image", - "type": "LATENT", - "link": 23 - }, - { - "name": "noise_seed", - "type": "INT", - "link": 24, - "widget": { - "name": "noise_seed" - }, - "slot_index": 4 - }, - { - "name": "steps", - "type": "INT", - "link": 53, - "widget": { - "name": "steps" - } - }, - { - "name": "cfg", - "type": "FLOAT", - "link": 55, - "widget": { - "name": "cfg" - } - }, - { - "name": "sampler_name", - "type": "COMBO", - "link": 15, - "widget": { - "name": "sampler_name" - } - }, - { - "name": "scheduler", - "type": "COMBO", - "link": 12, - "widget": { - "name": "scheduler" - } - } - ], - "outputs": [ - { - "name": "LATENT", - "type": "LATENT", - "links": [ - 22 - ], - "shape": 3 - } - ], - "properties": { - "Node name for S&R": "KSamplerAdvanced" - }, - "widgets_values": 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"SDPromptReader", "pos": [ 100, @@ -462,7 +162,7 @@ ], "size": { "0": 320, - "1": 900 + "1": 980 }, "flags": {}, "order": 0, @@ -484,8 +184,8 @@ "name": "POSITIVE", "type": "STRING", "links": [ - 37, - 49 + 5, + 23 ], "shape": 3, "slot_index": 2 @@ -494,8 +194,8 @@ "name": "NEGATIVE", "type": "STRING", "links": [ - 38, - 50 + 6, + 24 ], "shape": 3, "slot_index": 3 @@ -510,8 +210,8 @@ "name": "STEPS", "type": "INT", "links": [ - 53, - 54 + 19, + 26 ], "shape": 3, "slot_index": 5 @@ -520,8 +220,8 @@ "name": "CFG", "type": "FLOAT", "links": [ - 55, - 56 + 20, + 27 ], "shape": 3, "slot_index": 6 @@ -529,15 +229,22 @@ { "name": "WIDTH", "type": "INT", - "links": null, + "links": [ + 21, + 31 + ], "shape": 3, "slot_index": 7 }, { "name": "HEIGHT", "type": "INT", - "links": null, - "shape": 3 + "links": [ + 22, + 32 + ], + "shape": 3, + "slot_index": 8 }, { "name": "MODEL_NAME", @@ -571,15 +278,170 @@ ] }, { - "id": 2, - "type": "SDParameterGenerator", + "id": 7, + "type": "CLIPTextEncode", "pos": [ - 470, + 520, + 314 + ], + "size": { + "0": 320, + "1": 54 + }, + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 8, + "slot_index": 0 + }, + { + "name": "text", + "type": "STRING", + "link": 6, + "widget": { + "name": "text" + } + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 35 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ] + }, + { + "id": 4, + "type": "KSamplerAdvanced", + "pos": [ + 940, 130 ], "size": { "0": 320, - "1": 900 + "1": 500 + }, + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 9 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 36, + "slot_index": 1 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 35 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 10 + }, + { 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970 }, "flags": {}, "order": 1, @@ -589,54 +451,62 @@ "name": "MODEL_NAME", "type": "COMBO", "links": [ - 43 + 39 ], "shape": 3, "slot_index": 0 }, { - "name": "MODEL", - "type": "MODEL", + "name": "VAE_NAME", + "type": "COMBO", "links": [ - 17 + 40 ], "shape": 3, "slot_index": 1 }, { - "name": "CLIP", - "type": "CLIP", + "name": "MODEL", + "type": "MODEL", "links": [ - 20, - 32 + 9 ], "shape": 3, "slot_index": 2 }, { - "name": "VAE", - "type": "VAE", + "name": "CLIP", + "type": "CLIP", "links": [ - 21 + 7, + 8 ], "shape": 3, "slot_index": 3 }, + { + "name": "VAE", + "type": "VAE", + "links": [ + 12 + ], + "shape": 3 + }, { "name": "SEED", "type": "INT", "links": [ - 24, - 44 + 11, + 30 ], - "shape": 3, - "slot_index": 4 + "shape": 3 }, { "name": "STEPS", "type": "INT", "links": [], - "shape": 3 + "shape": 3, + "slot_index": 6 }, { "name": "REFINER_START_STEP", @@ -654,21 +524,21 @@ "name": "SAMPLER_NAME", "type": "COMBO", "links": [ - 15, - 45 + 17, + 28 ], "shape": 3, - "slot_index": 8 + "slot_index": 9 }, { "name": "SCHEDULER", "type": "COMBO", "links": [ - 12, - 46 + 18, + 29 ], "shape": 3, - "slot_index": 9 + "slot_index": 10 }, { "name": "POSITIVE_ASCORE", @@ -685,31 +555,24 @@ { "name": "WIDTH", "type": "INT", - "links": [ - 10, - 47 - ], + "links": [], "shape": 3, - "slot_index": 12 + "slot_index": 13 }, { "name": "HEIGHT", "type": "INT", - "links": [ - 11, - 48 - ], - "shape": 3, - "slot_index": 13 + "links": [], + "shape": 3 }, { "name": "BATCH_SIZE", "type": "INT", "links": [ - 9 + 4 ], "shape": 3, - "slot_index": 14 + "slot_index": 15 }, { "name": "PARAMETERS", @@ -738,246 +601,423 @@ 512, 512, 1, - "Total steps: 30,\nRefiner off", - "Optimal resolution for SDv1 512px model\nwith aspect ratio 1:1: 512 x 512", - null, "", - "" + "", + null, + "Total steps: 30,\nRefiner off", + "Optimal resolution for SDv1 512px model\nwith aspect ratio 1:1: 512 x 512" + ] + }, + { + "id": 3, + "type": "SDPromptSaver", + "pos": [ + 1780, + 130 + ], + "size": [ + 320, + 560 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