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furusu / ControlNet
README.md
model
1 matches
tags: stable diffusion, controlnet, license:openrail, region:us
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d2.1 v_prediction model.
Model is the difference from the original checkpoint created by [extract_controlnet_diff.py](https://github.com/Mikubill/sd-webui-controlnet/blob/main/extract_controlnet_diff.py).
These are not the final version and need to be adjusted to be more accurate. Someone please do this.
ND911 / EclecticEuphoria_NoobIll_vpred
README.md
model
1 matches
tags: license:apache-2.0, region:us
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is a V_Prediction model instead of the normal ESP models. Basic workflow and an advanced workflow included.
## EclecticEuphoria_Noobai_vpred_S
Brings a merged model, clip and new vae to bring out a Saturated look. WorkFlow is in images, drag and drop into Comfyui
Runware / NoobAI-XL-VPred-1.0
README.md
model
4 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-xl, art, not-for-all-audiences, text-to-image, en, base_model:Laxhar/noobai-XL-Vpred-0.75, base_model:finetune:Laxhar/noobai-XL-Vpred-0.75, license:other, autotrain_compatible, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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AI's v_prediction model is a separate model from [Terminus XL](https://huggingface.co/collections/bghira/terminus-xl-65451893a156b3b1d1456514), another recommended model series to try if you like Illustrious and NoobAI.
# Model Introduction
This image generation model, based on Laxhar/noobai-XL_v1.0, leverages full Danbooru and e621 datasets with native tags and natural language captioning.
Old-Fisherman / SDXL_Finetune_GGUF_Files
README.md
model
4 matches
tags: gguf, base_model:stabilityai/stable-diffusion-xl-base-1.0, base_model:quantized:stabilityai/stable-diffusion-xl-base-1.0, license:other, region:us
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## V_Prediction Custom Node
If you are using a v_prediction model, the quantized model won't be automatically detected as such in ComfyUI. I made a custom node to force the model type to set as v_prediction in ComfyUI for the purpose.
V_Prediction Node Link: https://github.com/magekinnarus/ComfyUI-V-Prediction-Node
terminusresearch / terminus-xl-velocity-training
README.md
model
1 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, text-to-image, full, base_model:terminusresearch/terminus-xl-velocity-v2, base_model:finetune:terminusresearch/terminus-xl-velocity-v2, license:creativeml-openrail-m, autotrain_compatible, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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ype: v_prediction
- Rescaled betas zero SNR: True
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Enabled
RareConcepts / pseudo-flex-v2
README.md
model
1 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, text-to-image, full, base_model:stabilityai/stable-diffusion-2-1, base_model:finetune:stabilityai/stable-diffusion-2-1, license:creativeml-openrail-m, region:us
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ype: v_prediction
- Rescaled betas zero SNR: True
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Enabled
Luo-Yihong / yoso_pixart512
README.md
model
1 matches
tags: diffusers, safetensors, text-to-image, en, arxiv:2403.12931, base_model:PixArt-alpha/PixArt-XL-2-512x512, base_model:finetune:PixArt-alpha/PixArt-XL-2-512x512, region:us
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e = "v_prediction"
generator = torch.manual_seed(318)
imgs = pipe(prompt="Pirate ship trapped in a cosmic maelstrom nebula, rendered in cosmic beach whirlpool engine, volumetric lighting, spectacular, ambient lights, light pollution, cinematic atmosphere, art nouveau style, illustration art artwork by SenseiJaye, intricate detail.",
num_inference_steps=1,
num_images_per_prompt = 1,
bghira / terminus-xl-refiner
README.md
model
1 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, text-to-image, full, base_model:segmind/SSD-1B, base_model:finetune:segmind/SSD-1B, license:creativeml-openrail-m, autotrain_compatible, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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ype: v_prediction
- Rescaled betas zero SNR: True
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Enabled
bghira / terminus-velocity-v2-reddit
README.md
model
1 matches
tags: diffusers, stable-diffusion, stable-diffusion-diffusers, text-to-image, lora, template:sd-lora, base_model:stabilityai/stable-diffusion-3-medium-diffusers, base_model:adapter:stabilityai/stable-diffusion-3-medium-diffusers, license:creativeml-openrail-m, region:us
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ype: v_prediction
- Rescaled betas zero SNR: True
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Not used
RedRayz / illumina-noob-vpd
README.md
model
4 matches
RedRayz / abydos-noobvpd-0.5
README.md
model
3 matches
hanzogak / comradeshipXL-v14VT
README.md
model
1 matches
tags: diffusers, safetensors, license:other, autotrain_compatible, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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e": "v_prediction", "rescale_betas_zero_snr": True}
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", **scheduler_args)
pipe.to('cuda')
yurman / uncond-sd2-base-complex
README.md
model
1 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, base_model:yurman/uncond_sd2-base, base_model:finetune:yurman/uncond_sd2-base, license:creativeml-openrail-m, diffusers:StableDiffusionUnconditionalPipeline, region:us
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ype: v_prediction
* SNR Gamma: 5.0
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/mri-diffusion/uncond-sd2-base-complex/runs/krp3zs5e).
yurman / uncond-sd2-base-complex-4
README.md
model
1 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, base_model:yurman/uncond_sd2-base, base_model:finetune:yurman/uncond_sd2-base, license:creativeml-openrail-m, diffusers:StableDiffusionUnconditionalPipeline, region:us
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ype: v_prediction
* SNR Gamma: 5.0
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/mri-diffusion/uncond-sd2-base-complex/runs/fpsgaddb).
yurman / uncond-sd2-base-complex-8
README.md
model
1 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, base_model:yurman/uncond_sd2-base, base_model:finetune:yurman/uncond_sd2-base, license:creativeml-openrail-m, diffusers:StableDiffusionUnconditionalPipeline, region:us
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ype: v_prediction
* SNR Gamma: 5.0
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/mri-diffusion/uncond-sd2-base-complex/runs/v3mjyq8q).
Koolchh / AnimeBoysZeroXL
README.md
model
3 matches
tags: diffusers, text-to-image, stable-diffusion, license:openrail++, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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with V-prediction. Please ensure you are using the correct settings during inference.
- **ComfyUI Users**: Add the `ModelSamplingDiscrete` node into your workflow. Set `sampling` to `v_prediction`, `zsnr` to `true`.
- **Automatic1111 Users**: Place the `.yaml` config file into the model folder. The .yaml file must have the exact same name as the model file, only with the `.yaml` extension instead of `.safetensors`. Set `Noise schedule for sampling` in settings to `Zero Terminal SNR`.
- **Prompting**: Always begin your prompt with a score tag (e.g. `score_9`). You can use any of these styles:
- Tag soup: `score_X, tag1, tag2, tag3, ...`
Koolchh / AnimeBoysNabla
README.md
model
2 matches
tags: diffusers, text-to-image, stable-diffusion, license:openrail++, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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with V-prediction. Please ensure you are using the correct settings during inference.
- **ComfyUI Users**: Add the `ModelSamplingDiscrete` node into your workflow. Set `sampling` to `v_prediction`, `zsnr` to `true`.
- **Automatic1111 Users**: Place the `.yaml` config file into the model folder. The .yaml file must have the exact same name as the model file, only with the `.yaml` extension instead of `.safetensors`. Set `Noise schedule for sampling` in settings to `Zero Terminal SNR`.
- **Prompting**: Always begin your prompt with a score tag (e.g. `score_9`). You can use any of these styles:
- Tag soup: `score_X, tag1, tag2, tag3, ...`
Laxhar / noobai-XL-Vpred-1.0
README.md
model
3 matches
tags: diffusers, safetensors, stable-diffusion, stable-diffusion-xl, art, not-for-all-audiences, text-to-image, en, base_model:Laxhar/noobai-XL-Vpred-0.75, base_model:finetune:Laxhar/noobai-XL-Vpred-0.75, license:other, autotrain_compatible, endpoints_compatible, diffusers:StableDiffusionXLPipeline, region:us
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as a v-prediction model (distinct from eps-prediction), it requires specific parameter configurations - detailed in following sections.
Special thanks to my teammate euge for the coding work, and we're grateful for the technical support from many helpful community members.
# ⚠️ IMPORTANT NOTICE ⚠️
Tencent-Hunyuan / IP-Adapter
README.md
model
1 matches
Luo-Yihong / yoso_pixart1024
README.md
model
1 matches
tags: diffusers, safetensors, text-to-image, en, arxiv:2403.12931, base_model:PixArt-alpha/PixArt-XL-2-1024-MS, base_model:finetune:PixArt-alpha/PixArt-XL-2-1024-MS, region:us
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e = "v_prediction"
generator = torch.manual_seed(318)
imgs = pipe(prompt="Pirate ship trapped in a cosmic maelstrom nebula, rendered in cosmic beach whirlpool engine, volumetric lighting, spectacular, ambient lights, light pollution, cinematic atmosphere, art nouveau style, illustration art artwork by SenseiJaye, intricate detail.",
num_inference_steps=1,
num_images_per_prompt = 1,