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control_v11p_sd15_lineart

This checkpoint is a conversion of the original checkpoint into `diffusers` format. It can be used in combination with **Stable Diffusion**, such as runwayml/stable-diffusion-v1-5. @misc{zhang2023adding, title={Adding Conditional Control to Text-to-Image Diffusion Models}, author={Lvmin Zhang and Maneesh Agrawala}, year={2023}, eprint={2302.05543}, archivePrefix={arXiv}, primaryClass={cs.CV} } Controlnet was proposed in *Adding Conditional Control to Text-to-Image Diffusion Models* by Lvmin Zhang, Maneesh Agrawala.

Qwen-Image-2.1-Turbo-GGUF

GGUF quants of Qwen/Qwen-Image-2.1-Turbo, the 8-step distilled Qwen-Image-2.1 (7B DiT). Converted with stable-diffusion.cpp from the official diffusers weights on release day. Every quant is tested on a single RTX 3060 12GB. These are made for **stable-diffusion.cpp** (`sd-cli`, `sd-server`, and anything built on it, like llama-swap). They are not ComfyUI-GGUF files. Using ComfyUI? See the section at the bottom. `Q4_K_S` and `Q3_K_S` are uniform k-quants (every quantized tensor is Q4_K or Q3_K). `qwen-image-2.1-turbo-Q4_K.gguf` and `qwen-image-2.1-turbo-Q3_K.gguf` are the exact same files under their old names, kept so existing links keep working.

flux-3-image-klein-GGUF

The license of the quantized files follows the license of the original model: - FLUX Kommunity License v.1.0: https://huggingface.co/black-forest-labs/flux-3-image-klein/blob/main/LICENSE.md This model can be used with `stable-diffusion.cpp`.

moeFussion

The goal of this project is to improve generation of moe characters since most of other models are not good at it. \ \ __Some of the models can be used online on these plarforms:__ \ __Aipictors (Japanese) - https://www.aipictors.com__ It is recommende to use standard resolution such as 832x1144 \ Positive prompt example: masterpiece, best quality, 1girl, solo, full body, night, purple kimono, japanese clothes, barefoot, obi, bare legs, braided ponytail, feet, mole, toes, collarbone, toenails, electricity, looking at viewer, night sky, holding weapon, holding, holding polearm, floating, sakura, petals \ Negative prompt example: lowres, worst quality, low quality, old, early, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, monochrome, simple background, \ All examples were generated using custom workflow in ComfyUI and weren't edited using inpainting. You can load the workflow by either importing the example images or importing the workflow directly v3.0 \ Anima v1 based \ Better anatomy, smaller model, better prompt adherance \ Use @artist for artists, case sensitive \ You can use both tags and natural language prompts and you will likely achieve better results combining both \ It's better to use longer prompts for better results, shorter (sub 10 tags) may result in lower quality \ Use er_sde sampler and simple or maybe beta scheduler, cfg around 4 maybe even closer to 3 v0.4.3 \ Fixed color issue \ General improvements \ \ v0.5.3 \ Integrated VAE\ File size reduced \ CLIP force reset fix \ \ v0.6.3 \ Style improvements \ Added PastelMix and Counterfeit style \ \ v0.7.x \ Style impovements \ Composition improvements \ \ v0.8.x \ Major improvement on higher resolutions \ Style improvements \ Flexibility and responsivity \ Added support for Night Sky YOZORA model \ \ v0.9.x \ Different approach at merging, you might find v0.8.x versions better \ Changes at supported models \ \ v2.1.X EXPERIMENTAL RELEASE \ Stable Diffusion 2.1-768 based \ Default negative prompt: (low quality, worst quality:1.4), (bad anatomy), extra finger, fewer digits, jpeg artifacts \ For positive prompt it's good to include tags: anime, (masterpiece, best quality) alternatively you may achieve positive response with: (exceptional, best aesthetic, new, newest, best quality, masterpiece, extremely detailed, anime, waifu:1.2) \ Though it's Loli Diffusion model it's

stable-diffusion-3.5-large_amdgpu

stable-diffusion-3-tiny-random

This pipeline is intended for debugging. It is adapted from stabilityai/stable-diffusion-3-medium-diffusers with smaller size and randomly initialized parameters.

dreamshaper-xl-v2-turbo

`lykon/dreamshaper-xl-v2-turbo` is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0. Please consider supporting me: - on Patreon - or buy me a coffee For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

FLUX-3-Image-Klein-TE-Uncensored-GGUF

FLUX 3 Image Klein's text encoder, Qwen3-VL-4B-Instruct, with its refusal direction projected out: a drop-in --llm for stable-diffusion.cpp next to our Klein GGUFs . Klein's prompt upsampler without refusals is in FLUX-3-Image-Klein-pup-Uncensored-GGUF . Below, exactly which part is uncensored and what that does to the pictures. The measurements are public. Built by the team behind Atomic Chat , the app that runs open-weight models locally and offline. As a chat model, the encoder's refusals fall from 79% to 0% on held-out English prompts. MMLU goes from 71.1% to 71.2%. On images it changes nothing we could measure. The open Klein pipeline has no filter and already draws the sensitive categories we tested. With this encoder, alone or together with the uncensored upsampler, no category moved by more than one picture in ten. See where exactly this is uncensored . Another uncensored Klein encoder, webmp3's Sakura, has a smaller edit: it moves the model and the pictures less than this one, at the same 0% refusals. See the comparison . FLUX 3 Image Klein makes a picture with four parts. Two of them are changed in our Uncensored releases, one in each repo.

anything-v5

payload = json.dumps({ "key": "", "model_id": "anything-v5", "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", "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime", "width": "512", "height": "512", "samples": "1", "num_inference_steps": "30", "safety_checker": "no", "enhance_prompt": "yes", "seed": None, "guidance_scale": 7.5, "multi_lingual": "no", "panorama": "no", "self_attention": "no", "upscale": "no", "embeddings": "embeddings_model_id", "lora": "lora_model_id", "webhook": None, "track_id": None })

stable-diffusion-v1-5