mirror of
https://github.com/NousResearch/hermes-agent.git
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50 lines
1.4 KiB
JSON
50 lines
1.4 KiB
JSON
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{
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"_comment": "SD 1.5 text-to-image. Smallest model, fastest. Required model: v1-5-pruned-emaonly.safetensors (or any SD1.5 checkpoint)",
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"3": {
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"class_type": "KSampler",
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"_meta": {"title": "KSampler"},
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"inputs": {
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"seed": 156680208700286,
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"steps": 20,
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"cfg": 8.0,
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"sampler_name": "euler",
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"scheduler": "normal",
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"denoise": 1.0,
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"model": ["4", 0],
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"positive": ["6", 0],
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"negative": ["7", 0],
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"latent_image": ["5", 0]
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}
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},
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"4": {
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"class_type": "CheckpointLoaderSimple",
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"_meta": {"title": "Load Checkpoint"},
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"inputs": {"ckpt_name": "v1-5-pruned-emaonly.safetensors"}
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},
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"5": {
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"class_type": "EmptyLatentImage",
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"_meta": {"title": "Empty Latent"},
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"inputs": {"width": 512, "height": 512, "batch_size": 1}
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},
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"6": {
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"class_type": "CLIPTextEncode",
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"_meta": {"title": "Positive Prompt"},
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"inputs": {"text": "a beautiful landscape painting, masterpiece, highly detailed", "clip": ["4", 1]}
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},
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"7": {
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"class_type": "CLIPTextEncode",
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"_meta": {"title": "Negative Prompt"},
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"inputs": {"text": "ugly, blurry, low quality, deformed", "clip": ["4", 1]}
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},
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"8": {
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"class_type": "VAEDecode",
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"_meta": {"title": "VAE Decode"},
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"inputs": {"samples": ["3", 0], "vae": ["4", 2]}
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},
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"9": {
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"class_type": "SaveImage",
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"_meta": {"title": "Save Image"},
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"inputs": {"filename_prefix": "sd15", "images": ["8", 0]}
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}
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}
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