The Infinity Grail Tool is a blender AI tool developed by"只剩一瓶辣椒酱-幻之境开发小组"(a development team from China)based on the STABLE DIFFUISON ComfyUI core, which will be available to blender users in an open source & free fashion.
Video Tutorial
Blender x ComfyUI Node-Style AI Painting Adventure -00 Installation and Deployment (including Full Blood Version integration Pack)
Chapter Two: Introduction to All Nodes
Editor:谷缘芷月、只剩一瓶辣椒酱、王也道长OS
K Sampler can add the noise to the latent space and then gradually remove the noise to regenerate the latent space.
- Specifies the random seed to generate the noise
- < Node random every run > The random seed of this sampler changes randomly every run after it is turned on
- < Random All > The random seeds of all samplers change with each run after it is enabled
- Specifies the number of times to remove noise
- Control the effect of prompt on sampling
- Specifies the sampler to use
- Specifies the scheduler to use,to adjust the degree of noise removal each time
- karras:Nonlinear sampling
- normal:Equidistant interval sampling
- simple:Approximate equidistant interval sampling is the simplest scheduler
- ddim_uniform:Official effect, recommended in combination with ddim
- Normally, only karras is used
- Specifies the amount of noise to be added, generally applicable to graph generation graphs.
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler Advanced](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-IJ7C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- Whether the switch adds noise
- Specifies the random seed to generate the noise
- < Node random every run > The random seed of this sampler changes randomly every run after it is turned on
- < Random All > The random seeds of all samplers change with each run after it is enabled
- Specifies the number of steps to start adding noise
- Specifies the number of steps to end adding noise
- Specifies whether to fully return undenoised waves, as reflected in the return noise screen
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Decoder](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
Able to load model, U-net, VAE encoder/decoder in checkpoint(safetensor) file, outputs as model, CLIP, VAE.
- The loader automatically recognizes the size and version of the model, but it is not entirely accurate.
- The default is not to limit CLIP depth, you can use to limit CLIP
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-rwwQ 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Inverse CLIPcheckpoint loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-0ACT 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Diffusion Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-6ZiQ 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Set Last Layer](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-OFAv 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load VAE.
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-FJ4Q 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load The LoRA model.
- Can load LoHA, LoCON, LoKR and other models.
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-4xjf 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load CLIP model.
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Inverse CLIPcheckpoint Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-0ACT 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load ControlNet model
- [ControlNet Apply](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-x81Z 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Different ControlNet Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-cw0Z 《无限圣杯AI节点(ComfyUI)使用者手册》)
Another loader capable of loading the ControlNet model.
- [ControlNet Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-ZBu4 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load style models.
- [Style Model Apply](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jOYQ 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Visual Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-Gh0K 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load Clip Visual model
- [CLIP Visual Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-Gh0K 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load the model in the Safecheckpoint file, the CLIP text layer, the VAE encoding/decoder and the CLIP visual layer, and the output is the model, CLIP, VAE and visual CLIP.
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Visual Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-Gh0K 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load GLIGEN model.
- [GLIGEN Text Box Apply](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-f2Ff 《无限圣杯AI节点(ComfyUI)使用者手册》)
It is able to load Hypernetwork。
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
Apply the visual CLIP to the condition.
- When other style conditions already exist in the upstream node, the style is superimposed with the upstream style.
- CLIP visual encoding is required.
- [CLIP Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-4xjf 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Visual Style Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-Bg14 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Visual Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-Gh0K 《无限圣杯AI节点(ComfyUI)使用者手册》)
This node restricts the specified text in the condition to the specified location.
- Specifies the area size.
- Specifies the area location, with the coordinates being the upper-left corner.
- Can be used superimposed to control the range of each prompt
- If a condition exists upstream of the node tree, the condition is applied to the upstream node
- When a condition is applied simultaneously on different scales, it can produce unpredictable results
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [GLIGEN Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-chaq 《无限圣杯AI节点(ComfyUI)使用者手册》)
This node encodes the text content as a condition.
- Be able to read Texture Inversion | Embedding,The use method is"embedding:embdding_name"
- When multiple embedding needs to be read,use“embedding:emb_1,embedding:emb_2”
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-deRh 《无限圣杯AI节点(ComfyUI)使用者手册》)
This node is able to limit the depth of the CLIP
- When the value is -1, there is no limit
- When the value is -2, stop before the last layer
- When the value is -3, stop before the last 2 layers
This node can cause the model to produce unpredictable results,some prompt may depend on this setting.
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Text Encoder](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
Average the two conditions by strength.
- Specify the mixing strength value. The smaller the value, the stronger the conditional source effect
- If Condition Source contains multiple sets of conditions, only the first set of conditions is used
Combine two conditions.
- It is a simply combination.
- Usually used in conjunction with < conditional region >.
- The combined conditions are output separately, different from the effect of entering a set of conditions at the same time.
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Conditioning Set Area](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-msbm 《无限圣杯AI节点(ComfyUI)使用者手册》)
Constraints are sampled in a specified area, and weights can be set.
- Specified area size.
- Specified position,coordinates for the "sampling from" the top left corner of the latent first pixel.
- Designated Limit Strength
- The function of this node is not to restrict the condition area
- If there is a region without any conditions, the calculation returns the noise
- If a condition exists on the upstream node, the condition overrides the upstream condition
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Conditioning Set Mask](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KiX1 《无限圣杯AI节点(ComfyUI)使用者手册》)
Through the mask limit the condition sampling in the specified area, and the weight can be set.
- Specified Conditional Strength.
- Select whether to generate only in mask.
- The function of this node is not to restrict the condition area.
- there is a region without any conditions, the calculation returns the noise.
- If a condition exists on the upstream node, the condition overrides the upstream condition.
- [Conditioning Set Area](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-msbm 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Conditioning Combine](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-0pZn 《无限圣杯AI节点(ComfyUI)使用者手册》)
Visual CLIP is used to encode images.
- [unCLIP Checkpoint Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-0ACT 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Visual Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-USpG 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [unCLIP Conditioning](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-XZD8 《无限圣杯AI节点(ComfyUI)使用者手册》)
The visual CLIP encoded output image is applied to the condition.
- This node applies only to the unCLIP model.
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Visual Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-Gh0K 《无限圣杯AI节点(ComfyUI)使用者手册》)
Apply ControlNet to conditions.
- [ControlNet Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-ZBu4 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [CLIP Text Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-jthz 《无限圣杯AI节点(ComfyUI)使用者手册》)
The encoded image is latent, and areas with a color value greater than 0.5 in the mask become the target of internal filling.
- The mask input is stretched to the size of the input image.
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
With noise overlay latent, the content outside the mask is replaced by noise.
- The noise that is replaced affects the generation of the rest of the content
- If the upstream node already has a noise mask, the noise replaces the upstream noise
- [VAE Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-FJ4Q 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
Select the node latent, the amount determined by < batch size >.
- Choose the latent on the field, 0 denotes the first one.
- [Empty Latent Image](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-OpNE 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
Copy batches a specified number of times.
- Specifies the number of times to copy
- Keep the batch order when copying
- lat_1, lat_2 → lat_1, lat_2, lat_1, lat_2
Respecify the batch size.
- Respecify the batch size in each batch
- When the total amount of the original lot is greater than the target amount, the original lot is split into a batch sequence of the specified size
- When the total quantity of the original batch is not greater than the target quantity, output the original batch quantity
- The number of batches output by this node is calculated simultaneously, rather than individually
Rotate latent.
- Rotate the specified angle clockwise.
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
Flip latent。
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
Crop latent.
- Specifies the size of latent to be pruned out.
- Specified position,coordinates for the "sampling from" the top left corner of the latent first pixel.
- The output latent becomes the new latent instead of overwriting the external content with empty latent
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Latent Composite](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-DRGK 《无限圣杯AI节点(ComfyUI)使用者手册》)
Decode the latent into an image.
- [Checkpoint Simple Loader](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KF2C 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-FJ4Q 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Decode Tiled](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-v4pB 《无限圣杯AI节点(ComfyUI)使用者手册》)
Encode the image to latent.
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [VAE Decode Tiled](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-yuDk 《无限圣杯AI节点(ComfyUI)使用者手册》)
Generate an empty latent.
- Specify the latent size.
- Specifies the number of latent generated simultaneously.
- The latent generated at the same time feeds directly to the downstream node,the first latent is automatically selected when is used.
- The use of latent random species in the same cohort is incremental,for example, 123, 124, 125.
- [Latent Composite](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-DRGK 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Obtain Latent From The Batch](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-19QR 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using the image processing algorithm to scale latent, you can specify the size after scaling.
- Nearest - Exact: Copy the pixel closest to the original image.
- Bilinear: Select 4 pixels connected in the original image and interpolate between 2 points.
- Area: The same as "nearest - exact".
- area:和临近-精确相同
- Specifies the size of latent to scale to.
- Whether to crop the original image.
- If not opened, the latent stretches to match the target width and height.
- [Image Scale](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-PieC 《无限圣杯AI节点(ComfyUI)使用者手册》)
Composite "sample from" to "sample to".
- Specified position,coordinates for the "sampling from" the top left corner of the latent first pixel.
Blend two latent based on the color value of the mask,the output is (1-mask) destination+masksource.
- [Empty Latent Image](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-OpNE 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [K Sampler](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-UvgV 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Latent Composite Masked](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-KXj5 《无限圣杯AI节点(ComfyUI)使用者手册》)
Similar to ,eclosion is not available, masks can be used.
- Specified position,coordinates for the "sampling from" the top left corner of the latent first pixel.
- The two latent values were mixed based on the color value of the mask and the output was (1-mask)destination+masksource.
- [Empty Latent Image](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-DRGK 《无限圣杯AI节点(ComfyUI)使用者手册》)
Scale the image using an image processing algorithm,ability to specify the size after scaling.
- Nearest - Exact: Copy the pixel closest to the original image.
- Bilinear: Select 4 pixels connected in the original image and interpolate between 2 points.
- Area: The same as "Nearest - Exact".
- Specifies the size to which the image is to be scaled
- Whether to crop the original image
- If not enabled, the image will be stretched to fit the target width and height
- [Image Upscale With Model](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-5JVV 《无限圣杯AI节点(ComfyUI)使用者手册》)
Upscale the image using a upscale model.
- [Image Scale](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-PieC 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using the algorithm to blend two images.
- Soft Light:
- img2 <= 0.5,
- img1 - (1 - 2 * img2) * img1 * (1 - img1),
- img2 > 0.5,
- (1 - 2 * img2)* img1 * (1 - img1) + img1^2
- Overlay:
- img1 <= 0.5,
- 2 * img1 * img2,
- img1 > 0.5
- 1 - 2 * (1 - img1) * (1 - img2)
- Screen:1 - (1 - img1) * (1 - img2)
- Multiply:img1 * img2
- Normal:img2
Use algorithms to blur images.
- The larger the value, the stronger the blur effect
- The larger the value, the greater the blur range.
Use an algorithm to quantify the image.
- Specifies the number of colors used to represent the image
- Whether to reduce the ribbon by adding a small amount of noise
Use algorithms to sharpen images.
- The greater the value, the greater the sharpening range
- The greater the value, the greater the sharpening intensity
Save the image on the web side.
- [Save](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-zU1U 《无限圣杯AI节点(ComfyUI)使用者手册》)
Preview the image on the web side.
blender interface not applicable.
- [Preview](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-3UOO 《无限圣杯AI节点(ComfyUI)使用者手册》)
Load the image on the web side.
blender interface not applicable.
- [Input Image](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-2J6R 《无限圣杯AI节点(ComfyUI)使用者手册》)
Set all colors in the image to invert.
Image extension node suitable for supplementary painting.
Image output complement is 0, the original image unchanged; Mask output is 1, the original image is 0.
- Extend outward in the specified direction.
Load the mask on the web side.
blender interface not applicable.
- [Mask](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-SBvb 《无限圣杯AI节点(ComfyUI)使用者手册》)
Convert the mask to a image.
Convert the image to a mask according to the specified channel,masks are 0-1 grayscale maps that do not retain color.
Generates a solid mask.
- Specifies the mask color value.
- Specifies the mask size.
Invert the mask color value.
The output is (1-value).
Crop the mask.
- Specified position,coordinates for the "sampling from" the top left corner of the latent first pixel.
- Specifies the size of the mask to crop out.
Mix the two masks according to the algorithm.
- Specified position,coordinates for the "sampling from" the top left corner of the latent first pixel.
- multiply:target * source
- add:target + source
- substract:target - source
Feather from edge to center.
- The amount of feathering in the specified direction.
- Feathering is feathering from the original color value to 0.
Similar to . It takes longer, has lower quality, and requires less VRAM.
- [VAE Decode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-T9uA 《无限圣杯AI节点(ComfyUI)使用者手册》)
Similar to <VAE Encode>. It takes longer, has lower quality, and requires less VRAM.
- [VAE Encode](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-FJ4Q 《无限圣杯AI节点(ComfyUI)使用者手册》)
Use extra tokens in the "Tome model" to speed up generation.
- Indicates the ratio of the combined tokens.
Load the latent space on the web side.
blender interface not applicable.
Save the latent space on the web side.
The node that will load the model, U-net and VAE encoding/decoder from the Safecheckpoint file, and output them as the model, CLIP and VAE, is capable of defining the configuration file of the model.
This node is not recommended unless you understand the model you are working with.
Ability to load diffusers models.
The Canny algorithm is used to process the image.
- Low Threshold : Control the weak edge detection threshold
- High Threshold : Control the strong edge detection threshold
- Select whether to use L2 operation.
- L2 is more accurate than L1, but it reduces the speed of calculation.
Using the M - LSD algorithm to process the image.
- Control the threshold of detection lines. Lines with confidence lower than the threshold will not be detected as edges
- Control the threshold of line distance. When the distance between lines is lower than the threshold, it will be merged
Use HED algorithm to process images.
- Selection algorithm version
- Choose whether to increase the stability of the line, specifically for clearer lines
Use Scribble algorithm to process images.
Use FakeScribble algorithm to process images.
Use Binary algorithm to process images.
- Pixels with a color value above the threshold are treated as 1, and pixels with a color value below the threshold are treated as 0
- When the threshold is 0, the effect is the same as 255
Use PiDiNet algorithm to process images.
- Choose whether to increase the stability of the line, specifically for clearer lines.
Using Midas DepthMap algorithm processing image.
- The Angle of inclination of the depth projection onto the image
- Specifies the threshold for removing the background
- [Leres-DepthMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-ag5w 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Zoe-DepthMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-1jyt 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using Midas NormalMap algorithm processing image.
- Specifies the rotation Angle of the normal graph
- Specifies the threshold for removing the background
- [BAE-NormalMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-SAg2 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using LeRes DepthMap algorithm processing image.
- Specifies the threshold at which the identified depth nearest is removed, as if the portion larger than this value is replaced by 1.
- Specifies the threshold for removing the recognized depth background, as if the parts less than this value are replaced by 0.
- [Midas-DepthMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-5J2z 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Zoe-DepthMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-1jyt 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using Zoe DepthMap algorithm processing image.
- [Midas-DepthMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-5J2z 《无限圣杯AI节点(ComfyUI)使用者手册》)
- [Leres-DepthMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-ag5w 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using BAE NormalMap algorithm processing image.
- [Midas-NormalMap Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-eWIz 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using Openpose algorithm processing image.
- Select whether to detect the corresponding part
- Selection algorithm version
- [MediaPipe-HandPose Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-IWSt 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using MediaPipe HandPose algorithm processing image.
- Select whether to detect torso posture.
- Choose whether to test the hand.
- [Openpose Preprocessor](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-18Qf 《无限圣杯AI节点(ComfyUI)使用者手册》)
Using SemSeg algorithm processing image.
Using MediaPipe HandPose algorithm processing image.
- Specifies the maximum number of faces to detect.
- Specifies the minimum threshold for determining the face.
Using Color algorithm processing image.
Load images in blender interface.
Not applicable to the web side.
- Input : Directly input the picture and process it into a recognizable form
- Render: The input image may contain render elements or transparent channels that require secondary preprocessing
- [Load Image](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-XDch 《无限圣杯AI节点(ComfyUI)使用者手册》)
Load the mask in blender interface.
Not applicable to the web side.
- Objects in the scene can be selected to enter the mask directly
- [Load Image Mask](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-CHEo 《无限圣杯AI节点(ComfyUI)使用者手册》)
Save the image in blender interface.
Not applicable to the web side.
- [Save](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-fLas 《无限圣杯AI节点(ComfyUI)使用者手册》)
Preview the image in blender interface.
Not applicable to the web side.
- Preview images do not contain image metadata
- The preview folder is emptied at each startup
- [Preview](https://shimo.im/docs/Ee32m0w80rfLp4A2#anchor-djAA 《无限圣杯AI节点(ComfyUI)使用者手册》)