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SAVRN Model Hub · Models by License

Open-Weight Models Under CreativeML Open RAIL-M

8 models in the SAVRN Model Hub released under CreativeML Open RAIL-M, from publishers including SD v1.5, Lykon, Stable Diffusion API, RunDiffusion.

Commercial use: Yes, with conditions. CreativeML Open RAIL-M permits use, including commercial use, subject to the use-based restrictions in its attachment, which must be passed on downstream.

8 models.

Repackaged model files for ComfyUI. Place the files in the following folders: This is an archival re-upload of Stable Diffusion v1.5, originally at https://huggingface.co/runwayml/stable-diffusion-v1-5 until RunwayML took down that page. This model is from 2022, and is several major generational upgrades behind, it is being preserved here for technical & accessibility reasons (eg legacy model testing). https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly.safetensors is the exact original hash-identical model as uploaded by RunwayML. https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors is that…

Open weights creativeml-openrail-m diffusion-single-file

Model · Text to image

stable-diffusion-v1-5

SD v1.5

Modifications to the original model card are in red or green Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 's Stable Diffusion blog. The Stable-Diffusion-v1-5 checkpoint was initialized with the weights of the Stable-Diffusion-v1-2 checkpoint and subsequently fine-tuned on 595k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve classifier-free guidance sampling. You can use this both with the Diffusers library and RunwayML GitHub repository ( now deprecated ), ComfyUI…

Open weights creativeml-openrail-m 860M parameters diffusers

Model · Text to image

dreamshaper-7

Lykon

lykon/dreamshaper-7 is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5. For more general information on how to run text-to-image models with Diffusers, see the docs. - Version 8 focuses on improving what V7 started. Might be harder to do photorealism compared to realism focused models, as it might be hard to do anime compared to anime focused models, but it can do both pretty well if you're skilled enough. Check the examples! - Version 7 improves lora support, NSFW and realism. If you're interested in "absolute" realism, try AbsoluteReality. - Version 6 adds more lora support and more style in general. It should also be better at generating directly at…

Open weights creativeml-openrail-m 860M parameters diffusers

Model · Text to image

stable-diffusion-v1-4

CompVis

Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 's Stable Diffusion with Diffusers blog. The Stable-Diffusion-v1-4 checkpoint was initialized with the weights of the Stable-Diffusion-v1-2 checkpoint and subsequently fine-tuned on 225k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve classifier-free guidance sampling. This weights here are intended to be used with the Diffusers library. If you are looking for the weights to be loaded into the CompVis Stable Diffusion codebase…

Open weights creativeml-openrail-m 860M parameters diffusers

Model · Text to image

Juggernaut-XL-v9

RunDiffusion

The SDXL ecosystem is the single most mature corner of open image generation, and v9 is its most refined photorealism checkpoint. Choose Juggernaut XL v9 when you want: - Photorealism that holds up under scrutiny — skin texture, micro-contrast, and natural lighting that translates from concept to print. - Reasonable hardware — runs comfortably on 8 GB of VRAM, unlike newer DiT-based models that demand 16+ GB. - The full SDXL toolbox — drop-in compatibility with the thousands of SDXL ControlNets, IP-Adapter variants, AnimateDiff, regional prompting tools, and LoRAs already in your workflow. - Battle-tested reliability — 26+ months in production, used in agencies, studios, and shipping…

Open weights creativeml-openrail-m diffusers

Model · Text to image

revanimated

Stable Diffusion API

Get API key from ModelsLab, No Payment needed. Replace Key in below code, change modelid to "revanimated" Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs import requests import json url = "https://stablediffusionapi.com/api/v3/dreambooth" payload = json.dumps({ "key": "", "modelid": "revanimated", "prompt": "actual 8K portrait photo of gareth person, portrait, happy colors, bright eyes, clear eyes, warm smile, smooth soft skin, big dreamy eyes, beautiful intricate colored hair, symmetrical, anime wide eyes, soft lighting, detailed face, by makoto shinkai, stanley artgerm lau, wlop, rossdraws, concept art, digital painting, looking into camera"…

Open weights creativeml-openrail-m diffusers

Model · Text to image

stable-diffusion-inpainting

SD v1.5

Modifications to the original model card are in red or green Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask. The Stable-Diffusion-Inpainting was initialized with the weights of the Stable-Diffusion-v-1-2. First 595k steps regular training, then 440k steps of inpainting training at resolution 512x512 on “laion-aesthetics v2 5+” and 10% dropping of the text-conditioning to improve classifier-free classifier-free guidance sampling. For inpainting, the UNet has 5 additional input channels (4 for the encoded masked-image and 1 for the mask…

Open weights creativeml-openrail-m diffusers

Model · Text to image

dreamshaper-8

Lykon

lykon/dreamshaper-8 is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5. For more general information on how to run text-to-image models with Diffusers, see the docs. - Version 8 focuses on improving what V7 started. Might be harder to do photorealism compared to realism focused models, as it might be hard to do anime compared to anime focused models, but it can do both pretty well if you're skilled enough. Check the examples! - Version 7 improves lora support, NSFW and realism. If you're interested in "absolute" realism, try AbsoluteReality. - Version 6 adds more lora support and more style in general. It should also be better at generating directly at…

Open weights creativeml-openrail-m 860M parameters diffusers

Who Publishes These Models

Questions

Can I use CreativeML Open RAIL-M models commercially?

Yes, with conditions. CreativeML Open RAIL-M permits use, including commercial use, subject to the use-based restrictions in its attachment, which must be passed on downstream.

Which CreativeML Open RAIL-M models are most downloaded?

By monthly downloads reported by the Hugging Face Hub: stable-diffusion-v1-5-archive (14.6M); stable-diffusion-v1-5 (1.8M); dreamshaper-7 (901.8k).

Other licenses

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