Unclip conditioning. You can create some working unCLIP checkpoints from any SD2. 1, modified to accept (noisy) CLIP image embedding in addition to the text prompt, and can be used to create image variations (Examples) or can be chained with text Unclip conditioning strength: The 2nd image is encoded into a CLIP prompt, but you can use additional text to modify the images, i. ← GLIGEN (Grounded Language-to-Image Generation) Text-to-video →. Here is an example for how to use the Inpaint Controlnet, the example input image can be found here. Z. How to open your split ac indoor unit at home for servicing or cleaning at home. Load VAE. Human evaluators preferred unCLIP’s images to GLIDE’s approximately 57. 此节点特别需要使用考虑到unCLIP的扩散模型 unCLIP is the approach behind OpenAI's DALL·E 2 , trained to invert CLIP image embeddings. stage_c import StageC from comfy. However, we pointed out that the implementation found in Diffusers is derived from Karlo. , conditioned on) a text prompt. Latent space: Applying diffusion on image embeddings instead of image pixels. put wrench on tensioner pulley bolt. They can generate multiple subjects. to get started. Etymons: un- prefix2, clip v. Display what node is associated with current input selected. Meet Analogue Pocket. unCLIP multiple images; unCLIP with SDXL refiner augmentation; IPAdapter image variations; IPAdapter + Canny control net; Timestepping a Style model unCLIP Conditioning ¶. Oct 27, 2023 · 例如，使用 Conditioning (Set Area) 、 Conditioning (Set Mask) 或 GLIGEN Textbox Apply 节点，可以引导过程朝着某种组合进行。 或者，通过 Apply Style Model 、 Apply ControlNet 或 unCLIP Conditioning 节点等，提供额外的视觉提示。相关节点的完整列表可以在侧边栏中找到。 Dec 17, 2023 · Hypertiling + flash_attention seems to be flying along more than usual. Stable unCLIP. History. 1 768-v checkpoint. Move tensioner in direction to remove belt. The aim of this page is to get you up and running with ComfyUI, running your first gen, and providing some suggestions for the next steps to explore. Stable unCLIP checkpoints are finetuned from Stable Diffusion 2. 在混合多个重叠调节时使用的遮罩区域权重。 set_cond_area. g. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Info. 应用GLIGEN文本框，GLIGEN Textbox Apply节点可用于为扩散模型提供进一步的空间指导，引导其在图像的特定区域生成指定的部分。. By chaining together multiple nodes it is possible to guide the diffusion model using multiple controlNets or T2I adaptors. hint at the diffusion model where the edges in the final image should be by providing an image containing edge detections The Load LoRA node can be used to load a LoRA. dither. Apr 13, 2022 · In their empirical experiments, the team compared unCLIP to state-of-the-art text-to-image models such as DALL-E and GLIDE, with unCLIP achieving the best FID score (10. 0 percent of the time when judged on photorealism and 53. upscale images for a highres workflow. A reminder that you can right click images in the LoadImage node Jun 11, 2023 · Highlights. The GLIGEN Textbox Apply node can be used to provide further spatial guidance to a diffusion model, guiding it to generate the specified parts of the prompt in a specific region of the image. You can find the requirements listed in Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Mar 20, 2024 · Why is the top one the prompt? Look at the CONDITIONING output. We finetuned SD 2. outputs¶ CLIP_VISION_OUTPUT. Apply Style Model. Typical use-cases include adding to the model the ability to generate in certain styles, or better generate certain subjects or actions. Not all diffusion models are compatible with unCLIP conditioning. 1 checkpoints to condition on CLIP image embeddings. The conditioning with the text embeddings at conditioning_to_strength of 1. It additionally receives projected CLIP CLIP Vision Encode. When the noise mask is set a sampler node will only operate on the masked area. The Set Latent Noise Mask node can be used to add a mask to the latent images for inpainting. inputs¶ conditioning_to. Simple Img2Img; unCLIP model; Style Model; IPAdapter image + text; SDXL Revision; Experiments. (Efficient) has: a "start at step" parameter, the later you start the closer the image is to the latent background image. 1 to accept a CLIP ViT-L/14 image embedding in addition to the text encodings. Not Found. Load Latent ; Save Latent ; Tome Patch Model ; VAE Decode (Tiled) Stable unCLIP checkpoints are finetuned from Stable Diffusion 2. The CLIP Text Encode node can be used to encode a text prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images. outputs. Each subject has its own prompt. Wether to use dithering to make the quantized image look more smooth, or not. Although traditionally diffusion models are conditioned on the output of the last layer in CLIP, some diffusion models have been Learn how to generate low-rank matrix approximations using randomization, a powerful tool for data analysis and scientific computing, in this arXiv paper. Code. Welcome to the ComfyUI Community Docs! This is the community-maintained repository of documentation related to ComfyUI, a powerful and modular stable diffusion GUI and backend. adapter_conditioning_scale (float or List[float], optional, defaults to 1. safetensors ( 2. If a single mask is provided, all the latents in the batch will use this mask. unCLIP Diffusion models are used to denoise latents conditioned not only on the provided text prompt, but also on provided images. The stubborn cleaning problem is a frustrating and common issue for many home owners, as the discoloured ducts can often look unsightly against white ceilings. This paper proposes a two-stage model (unCLIP): a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image conditioned on the image embedding, for generating images from text. This is a more complicated network with an ipadapter load->encode->apply, the requisite CLIPVision model, and a CLIPVision encode->unclip conditioning. py. [Updated on 2024-04-13: Added progressive distillation, consistency models, and the Model Architecture The Conditioning (Set Area) node can be used to limit a conditioning to a specified area of the image. The Apply ControlNet node can be used to provide further visual guidance to a diffusion model. There should be a serp belt diagram under the hood for reference. ← Text2Video-Zero UniDiffuser →. #10 · May 6, 2013. The image to be encoded. It is connected to the positive input of the KSampler node. OG image prompt: "a robot holding a paint brush painting on an art stand". When combined with an unCLIP prior, it can also be used for full text to image The Conditioning (Combine) node can be used to combine multiple conditionings by averaging the predicted noise of the diffusion model. Diffusion model is an example of discrete Markov chain. Oct 27, 2023 · 例如，使用 Conditioning (Set Area) 、 Conditioning (Set Mask) 或 GLIGEN Textbox Apply 节点，可以引导过程朝着某种组合进行。 或者，通过 Apply Style Model 、 Apply ControlNet 或 unCLIP Conditioning 节点等，提供额外的视觉提示。相关节点的完整列表可以在侧边栏中找到。 Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning conditioning. If multiple adapters are specified in init, you can set the corresponding scale as a list. The origin of the coordinate system in ComfyUI is at the top left corner. 1 768-v checkpoint weights from the unCLIP checkpoint and adding the weights for any SD2. stage_b import StageB from comfy. Like. LoRAs are used to modify the diffusion and CLIP models, to alter the way in which latents are denoised. CLIP Vision Encode node. 559 lines (441 loc) · 23. be/I8FhEmyhZL8This model is specifically the MSZ-HM09NA Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Feb 14, 2023 · An Aussie mum has shared her “super easy” hack for transforming yellow air conditioning vents to make them look brand new again. 39) under a zero-shot setting. Learn How to Clean an Air Conditioner Servicing AC Cleaning at Home and rem Feb 1, 2024 · Classical conditioning is a learning process in which a neutral stimulus becomes associated with a reflex-eliciting unconditioned stimulus, such that the neutral stimulus eventually elicits the same innate reflex response that the unconditioned stimulus does. 尽管文本输入可以接受任何文本，但GLIGEN最适合的输入是文本提示中的一部分对象。. User #382946 10 posts. So, we need to add a CLIP Vision Encode node, which can be found by right-clicking → All Node → Conditioning. Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning The unCLIP Checkpoint Loader node can be used to load a diffusion model specifically made to work with unCLIP. colors. In one ComfyUI implementation of IP_adapter I've seen a CLIP_Vision_Output. ComfyUI中的坐标系原点位于 Oct 27, 2023 · 例如，使用 Conditioning (Set Area) 、 Conditioning (Set Mask) 或 GLIGEN Textbox Apply 节点，可以引导过程朝着某种组合进行。 或者，通过 Apply Style Model 、 Apply ControlNet 或 unCLIP Conditioning 节点等，提供额外的视觉提示。相关节点的完整列表可以在侧边栏中找到。 Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Aug 24, 2023 · The upsamplers are also diffusion models (ADM), where noise is added to the conditioning through the low-resolution image to make them more robust. Above the dotted line, we depict the CLIP training process, through which we learn a joint representation space for text and images. Stable unCLIP Text-to- Image Generation Text guided Image-to- Image Variation. It is composed of two main components : a prior that convert a CLIP text embedding into a CLIP image embedding and a decoder whose goal is the reverse the CLIP image encoder to produce an output image. 9 GB ) Conditioning . 2. Also come with a ConditioningUpscale node. 用于限制调节的遮罩。 strength. 3. The bottom one is connected to the negative, so it is for the negative prompt. 1. Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Oct 25, 2020 · G’day in this video we are going to go through and show you how to completely stripped down the air conditioning unit, still leaving the refrigeration coil i This workflow by comfyanonymous shows how to use an unclip model to remix an existing image into a stable cascade prompt. Although the text input will accept any text, GLIGEN works best if the input to it is an object that is part of the text prompt. safetensors. import torch import logging from comfy. In this series, we will be covering the basics of ComfyUI, how it works, and how you can put it to use in Oct 27, 2023 · 例如，使用 Conditioning (Set Area) 、 Conditioning (Set Mask) 或 GLIGEN Textbox Apply 节点，可以引导过程朝着某种组合进行。 或者，通过 Apply Style Model 、 Apply ControlNet 或 unCLIP Conditioning 节点等，提供额外的视觉提示。相关节点的完整列表可以在侧边栏中找到。 Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Unlike unCLIP embeddings, controlnets and T2I adaptors work on any model. CONDITIONING. Text conditioning: Generating images given (i. Image-to-Image Conditioning. Switch between documentation themes. e. The earliest known use of the verb unclip is in the late 1500s. Given the two separate conditionings, stable unCLIP can be used for text guided image variation. ldm. The CLIP Vision Encode node can be used to encode an image using a CLIP vision model into an embedding that can be used to guide unCLIP diffusion models or as input to style models. They require some custom nodes to function properly, mostly to automate out or simplify some of the tediousness that comes with setting up these things. 包含额外视觉指导的条件化，用于unCLIP模型。 Stable Diffusion v2-1-unclip Model Card This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available here. paypal. The Load VAE node can be used to load a specific VAE model, VAE models are used to encoding and decoding images to and from latent space. The number of colors in the quantized image. Cannot retrieve latest commit at this time. Then, we can connect the Load Image node to the CLIP Vision Encode node. The conditioning with the text embeddings at conditioning_to_strength of 0. Decoder: The decoder is based on GLIDE with classifier-free guidance. Encoding text into an embedding happens by the text being transformed by various layers in the CLIP model. Stable unCLIP also still conditions on text embeddings. Classifier guidance: Using classifier gradients to text-increase image alignment. ComfyUI provides a variety of nodes to manipulate pixel images. For example, pairing a bell sound (neutral stimulus) with the presentation of food (unconditioned stimulus) can cause an organism to Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Image. 3 KB. . On This Page. cascade. Here outputs of the diffusion model conditioned on different conditionings (i. When combined with an unCLIP prior, it can also be used for full text to image generation. unCLIP UnCLIP Pipeline UnCLIP Image Variation Pipeline Image Pipeline Output. The Apply Style Model node can be used to provide further visual guidance to a diffusion model specifically pertaining to the style of the generated images. Collaborate on models, datasets and Spaces. all parts that make up the conditioning) are averaged out, while Apply ControlNet node. inputs. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. Take the top clip out first, once out the other is easy. model_base. 1 768-v checkpoint with simple merging: by substracting the base SD2. com/cgi-bin/webscr?cmd=_donations&business=A5ZWNTFWGHYP2&lc=AU&item_name=Ken%20 The CLIP Set Last Layer node can be used to set the CLIP output layer from which to take the text embeddings. CLIP Text Encode (Prompt) node. GLIGEN Textbox Apply. 8-latent batch One goes bend side down towards ceiling then the other one goes bend side up the to the roof and they push against each other to make a tight fit. Click Queue Prompt to run the workflow. This stable-diffusion-2-1-unclip is a finetuned version of Stable Diffusion 2. Although the Load Checkpoint node provides a VAE model alongside the diffusion model, sometimes it can be useful to use a specific VAE model. ) INSTALLATION. 提示. A tribute to portable gaming. Oct 3, 2023 · dall-e 2/unclip The “ Hierarchical Text-Conditional Image Generation with CLIP Latents ” paper was published in March, 2022. 限制在指定遮罩的新调节。 示例. DALL-E 2 or unCLIP, as it referred to here, consists of a prior that maps the CLIP text embedding to a CLIP image embedding and a diffusion decoder that outputs the final image, conditioned on the predicted CLIP image embedding. 可以链接多个节点以提供多个图像作为指导。. 500. We can extend it to continuous stochastic process. 0) — The outputs of the adapter are multiplied by adapter_conditioning_scale before they are added to the residual in the original unet. Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning outputs. The Conditioning (Set Area) node can be used to limit a conditioning to a specified area of the image. more strength or noise means that side will be influencing the final picture more, etc. example. The unCLIP Conditioning node can be used to provide unCLIP models with additional visual guidance through images encoded by a CLIP vision model. and get access to the augmented documentation experience. This can be useful to e. Ryan Less than 1 minute. Sounds like maybe you need to get a service manual if yer gonna be doing any work under the hood. Together with the Conditioning (Combine) node this can be used to add more control over the composition of the final image. Thermoelec in Perth sell spares in Perth if you break any. Warning. Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning Sep 28, 2014 · ♫ If you would like to Support my Channel, please Donate ♫ https://www. diffusionmodules. safetensors, stable_cascade_inpainting. This paper introduced a new generative model DALLE-2 or UnCLIP. encoders. I've seen folks pass this + the main prompt into an unclip node, and the resulting conditioning going downstream (reinforcing the prompt with a visual element, typically for animation purposes). 是去噪整个区域，还是仅限于遮罩的边界框。 输出. See etymology. The KSampler Adv. Put model from clip_vision folder into: comfyui\models\clip_vision. Apr 13, 2022 · To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image conditioned on the image embedding. GLIGEN models are used to associate spatial information to parts of a text prompt, guiding the diffusion model to generate images adhering to compositions specified by GLIGEN. Examples of such are guiding the process towards certain compositions using the Conditioning (Set Area), Conditioning (Set Mask), or GLIGEN Textbox Apply node. Alright, up until now, we have discussed the original unCLIP/DALL·E-2. The CLIP vision model used for encoding the image. Add unCLIPConditioning Node Feb 4, 2024 · 画像生成(Stable Diffusion)界で話題の『ComfyUI』というAIツールの概要・メリットから導入方法、使い方まで詳しく解説しています！AUTOMATIC1111よりも高画質に、かつ迅速にAI画像を生成したい方は必見の情報が満載です。ControlNetや拡張機能などのComfyUIの活用方法も合わせてご紹介しますので、是非 Jul 28, 2020 · SEE NEW VIDEO HERE: https://youtu. You can adjust the strength of either side sample using the unclip conditioning box for that side (e. Faster examples with accelerated inference. Let’s define Wiener process (Brownian motion) $\mathbf{w}_t$ - a random process, such that it starts with $0$, its samples are continuous paths and all of its increments are independent and normally distributed, i. unCLIP扩散模型应该被图像指导的强度。 noise_augmentation. This node will also provide the appropriate VAE and CLIP amd CLIP vision models. Jul 11, 2021 · [Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. Conditioning (Set Mask) GLIGEN Textbox Apply ; unCLIP Conditioning ; Experimental . Conditioning Apply ControlNet Apply Style Model CLIP Set Last Layer CLIP Text Encode (Prompt) CLIP Vision Encode Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply unCLIP Conditioning GLIGEN Textbox Apply. This node can be chained to provide multiple images as guidance. modules. strength is normalized before mixing multiple Load Checkpoint (With Config) The Load Checkpoint (With Config) node can be used to load a diffusion model according to a supplied config file. 并非所有扩散模型都与unCLIP条件化兼容。. openaimodel import UNetModel, Timestep from comfy. After a short wait, you should see the first image generated. unCLIP, most commonly known as DALL-E 2, is a generative model that leverage the powerful CLIP joint image and text embedding. A multi-video-game-system portable handheld. The encoded image. One can even chain multiple LoRAs together to further In the second step, we need to input the image into the model, so we need to first encode the image into a vector. Or providing additional visual hints through nodes such as the Apply Style Model, Apply ControlNet or unCLIP Conditioning node. inputs¶ clip_vision. unCLIP条件化，unCLIP Conditioning 节点可以通过由CLIP视觉模型编码的图像为unCLIP模型提供额外的视觉指导。. noise_aug Nov 29, 2023 · lonelydonut commented on Nov 29, 2023. We show that explicitly generating image representations improves image diversity with minimal loss in photorealism CLIP Text Encode (Prompt) node. This node takes the T2I Style adaptor model and an embedding from a CLIP vision model to guide a diffusion model towards the style of the image embedded by CLIP vision. Sep 25, 2022 · Score based generative modelling. image. For a complete guide of all text prompt related features in ComfyUI see this page. Generate an image. This is a collection of custom workflows for ComfyUI. conditioning_from. unclip is formed within English, by derivation. Conditioning (Set Area) node. These nodes can be used to load images for img2img workflows, save results, or e. 示例使用文本与工作流程图像 Apr 29, 2013 · 6150 posts · Joined 2006. Experimental . A digital audio workstation with a built-in synthesizer and sequencer. Bryan. This means that the model can be used to produce image variations, but can also be combined with a text-to-image embedding prior to yield a full text-to 500. make them smile. useseful for hires fix workflow. To know more about the unCLIP process, check out the following paper: conditioning 调节参数至关重要，因为它定义了将用于指导模型输出的基础输入。它是一组在确定生成内容的特征和属性中起着决定性作用的元素。 Comfy dtype: CONDITIONING; Python dtype: List[Tuple[str, dict]] clip_vision_output Apr 3, 2023 · MultiAreaConditioning 2. Sep 23, 2022 · This is my reading note on Hierarchical Text-Conditional Image Generation with CLIP Latents. Checkpoints used ( 5 ) stage_b_bf16. Note that this is different from the Conditioning (Average) node. The pixel image to be quantized. 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. example¶ Download scientific diagram | A high-level overview of unCLIP. Feb 25, 2024 · DALL-E 2（unCLIP）共有三部分组成，分别是预训练的 CLIP 模型，prior 模型和 decoder 模型。从上图 unCLIP 的采样过程可以看出他们各自的作用，CLIP 的文本编码器负责提取文本特征，prior 模型将文本特征转换为图片特征，解码器 decoder 则根据图片特征生成图片。 . Multiple Subject Workflows. Right click menu to add/remove/swap layers. 噪声增强可以用来指导unCLIP扩散模型到原始CLIP视觉嵌入附近的随机位置，为生成的图像提供与编码图像密切相关的额外变化。 输出. unCLIP Overview Hierarchical Text-Conditional Image Generation with CLIP Latents by Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen. Unlike unCLIP embeddings, controlnets and T2I adaptors work on any model. Note that the regular load checkpoint node is able to guess the appropriate config in most of the cases. Hep. 1 percent of For these examples I have renamed the files by adding stable_cascade_ in front of the filename for example: stable_cascade_canny. Stable unCLIP still conditions on text embeddings. The abstract of the paper is the following: Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. Now for how to create your own unCLIP checkpoints. ApplyControlNet ; ApplyStyleModel ; CLIPSetLastLayer ; CLIPTextEncode ; CLIP Vision Encode ; Conditioning (Average) Conditioning (Combine) Conditioning (Set Area) Conditioning (Set Mask) GLIGEN Textbox Apply ; unCLIP Conditioning The GLIGEN Loader node can be used to load a specific GLIGEN model. [Updated on 2022-08-31: Added latent diffusion model. OED's earliest evidence for unclip is from 1598, in the writing of John Marston, poet and playwright. 将被限制在遮罩内的调节。 mask. 4: Let you visualize the ConditioningSetArea node for better control. 例如，使用Conditioning (Set Area)、Conditioning (Set Mask)或GLIGEN Textbox Apply节点指导过程朝着特定的构图发展。 或者通过Apply Style Model、Apply ControlNet或unCLIP Conditioning节点等提供额外的视觉提示。相关节点的完整列表可以在侧边栏中找到。 The Conditioning (Average) node can be used to interpolate between two text embeddings according to a strength factor set in conditioning_to_strength. an amount of steps depends on your model. Oct 8, 2023 · This is technically part 4 in our Comfy UI Series. Hi Matteo. dj zs yv yi cb uy nk yt ih wh