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- {"id":"91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb","revision":0,"last_node_id":98,"last_link_id":196,"nodes":[{"id":7,"type":"CLIPTextEncode","pos":[385.2652587890625,700.8501586914062],"size":[425.27801513671875,180.6060791015625],"flags":{"collapsed":true},"order":10,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":190},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","slot_index":0,"links":[52]}],"title":"CLIP Text Encode (Negative Prompt)","properties":{"cnr_id":"comfy-core","ver":"0.3.48","Node name for S&R":"CLIPTextEncode","enableTabs":false,"tabWidth":65,"tabXOffset":10,"hasSecondTab":false,"secondTabText":"Send Back","secondTabOffset":80,"secondTabWidth":65,"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":[""],"color":"#322","bgcolor":"#533"},{"id":8,"type":"VAEDecode","pos":[1163.6304931640625,14.038745880126953],"size":[208.93838500976562,53.67600631713867],"flags":{"collapsed":false},"order":16,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":128},{"localized_name":"vae","name":"vae","type":"VAE","link":76}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","slot_index":0,"links":[110]}],"properties":{"cnr_id":"comfy-core","ver":"0.3.48","Node name for S&R":"VAEDecode","enableTabs":false,"tabWidth":65,"tabXOffset":10,"hasSecondTab":false,"secondTabText":"Send Back","secondTabOffset":80,"secondTabWidth":65,"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}}},{"id":71,"type":"Note","pos":[845.0968627929688,-131.6971893310547],"size":[300,88],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["Increase the shift if you get too many blury/dark/bad images. Decrease if you want to try increasing detail."],"color":"#432","bgcolor":"#653"},{"id":74,"type":"MarkdownNote","pos":[506.7086486816406,946.9009399414062],"size":[310,210],"flags":{"collapsed":false},"order":1,"mode":0,"inputs":[],"outputs":[],"title":"KSampler settings","properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["You can test and find the best setting by yourself. The following table is for reference.\n\n| model | steps | cfg |\n|---------------------|---------------|---------------|\n| fp8_e4m3fnοΌQwen team's suggestionοΌ | 40 | 2.5 \n| fp8_e4m3fn | 20 | 2.5 |\n| fp8_e4m3fn + 8steps LoRA | 8 | 1.0 |\n| distill fp8_e4m3fn | 10 | 1.0 |"],"color":"#432","bgcolor":"#653"},{"id":70,"type":"Note","pos":[833.7783203125,945.8868408203125],"size":[310,120],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[],"title":"For fp8 without 8steps LoRA","properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["Set cfg to 1.0 for a speed boost at the cost of consistency. Samplers like res_multistep work pretty well at cfg 1.0\n\nThe official number of steps is 50 but I think that's too much. Even just 10 steps seems to work."],"color":"#432","bgcolor":"#653"},{"id":97,"type":"MarkdownNote","pos":[835.521484375,1106.0296630859375],"size":[305.8274230957031,109.7623062133789],"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[],"title":"RES4LYF","properties":{"ue_properties":{"version":"7.1","widget_ue_connectable":{},"input_ue_unconnectable":{}}},"widgets_values":["The \"res_2s\" and \"bong_tangent\" sampler and scheduler respectively come from the \"Res4Lyf\" custom node. I find that this combo provides the best quality by far, but if you want you can also skip that node and just use one of ComfyUI's default samplers and schedulers. Do note that \"res_2s\" approximately doubles the generation time."],"color":"#432","bgcolor":"#653"},{"id":67,"type":"MarkdownNote","pos":[-550.1875,14.794052124023438],"size":[540,630],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[],"title":"Model links","properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image) | [ζη¨](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image)\n\n\n## Model links\n\nYou can find all the models on [Huggingface](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) or [Modelscope](https://modelscope.cn/models/Comfy-Org/Qwen-Image_ComfyUI/files)\n\n**Diffusion model**\n\n- [qwen_image_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors)\n\nQwen_image_distill\n\n- [qwen_image_distill_full_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/non_official/diffusion_models/qwen_image_distill_full_fp8_e4m3fn.safetensors)\n- [qwen_image_distill_full_bf16.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/non_official/diffusion_models/qwen_image_distill_full_bf16.safetensors)\n\n**LoRA**\n\n_Optional, speeds up generation time at the cost of a little quality. Use one or none._\n- [Qwen-Image-Lightning-8steps-V2.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Lightning-8steps-V2.0.safetensors)\n\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\n\n**Text encoder**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\n**Custom Node**\n- [RES4LYF by ClownsharkBatwing](https://github.com/ClownsharkBatwing/RES4LYF)\n\nModel Storage Location\n\n```\nπ ComfyUI/\nβββ π models/\nβ βββ π diffusion_models/\nβ β βββ qwen_image_fp8_e4m3fn.safetensors\nβ β βββ qwen_image_distill_full_fp8_e4m3fn.safetensors\nβ βββ π loras/\nβ β βββ Qwen-Image-Lightning-8steps-V2.0.safetensors\nβ β βββ Qwen-Image-Lightning-4steps-V1.0.safetensors\nβ βββ π vae/\nβ β βββ qwen_image_vae.safetensors\nβ βββ π text_encoders/\nβ βββ qwen_2.5_vl_7b_fp8_scaled.safetensors\nβββπ custom_nodes/\nβ βββ π RES4LYF/\n```\n"],"color":"#432","bgcolor":"#653"},{"id":37,"type":"UNETLoader","pos":[20,50],"size":[330,90],"flags":{},"order":5,"mode":0,"inputs":[{"localized_name":"unet_name","name":"unet_name","type":"COMBO","widget":{"name":"unet_name"},"link":null},{"localized_name":"weight_dtype","name":"weight_dtype","type":"COMBO","widget":{"name":"weight_dtype"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","slot_index":0,"links":[129]}],"properties":{"cnr_id":"comfy-core","ver":"0.3.48","Node name for 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