Lykon_dreamshaper-7
Lykon · View on Hugging Face ↗
Model card
The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.
language:
- en license: creativeml-openrail-m tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- anime
- dreamshaper duplicated_from: lykon/dreamshaper-7
Dreamshaper 7
lykon/dreamshaper-7 is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5.
Please consider supporting me:
- on Patreon
- or buy me a coffee
Diffusers
For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.
- Installation
pip install diffusers transformers accelerate
- Run
from diffusers import AutoPipelineForText2Image, DEISMultistepScheduler
import torch
pipe = AutoPipelineForText2Image.from_pretrained('lykon/dreamshaper-7', torch_dtype=torch.float16, variant="fp16")
pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")
prompt = "portrait photo of muscular bearded guy in a worn mech suit, light bokeh, intricate, steel metal, elegant, sharp focus, soft lighting, vibrant colors"
generator = torch.manual_seed(33)
image = pipe(prompt, generator=generator, num_inference_steps=25).images[0]
image.save("./image.png")
Notes
- 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 1024 height (but be careful with it). 6.x are all improvements.
- Version 5 is the best at photorealism and has noise offset.
- Version 4 is much better with anime (can do them with no LoRA) and booru tags. It might be harder to control if you're used to caption style, so you might still want to use version 3.31. V4 is also better with eyes at lower resolutions. Overall is like a "fix" of V3 and shouldn't be too much different.
Magnet link
Opens the swarm directly in your torrent client — no file download needed. Copy-paste works too:
magnet:?xt=urn:btih:8b6ee0d8eb509becb02c6e2584130871deaea979&dn=Lykon_dreamshaper-7Open magnet in torrent client · infohash 8b6ee0d8eb509becb02c6e2584130871deaea979
Files & hashes
| Path | Size | sha1 | sha256 |
|---|---|---|---|
| README.md | 2.3 KB (2,394 B) | 8f1da031c3f755deb15bd5ebfb331399d8ec7c7b | 931285348fb0d773e75bc78dba4d02e28ee9d915b53a4ea12495b5fafd6cfac1 |
| feature_extractor/preprocessor_config.json | 520 B (520 B) | e0675735fd0052745f2f7b7291e4aa7859389998 | 6f638fb9401a6d6296feff533ee7efe657b787c49f954f82f5906b36ef2a1b1f |
| image.png | 375.9 KB (384,875 B) | 50f24b3ba8a4644a5896c9e4d5d85b684d31b805 | bf11e26b88f4235f87cd06f1b09d53356baa0c4a448ac06ec9d5d3471b75d0bd |
| model_index.json | 642 B (642 B) | 21fbcd7923fb852577f1ade3e96282b689aa826a | d9a93d8b7aafdc898bfb00ee945e12135d2461b106bd6d1084147f48a237cccb |
| safety_checker/config.json | 796 B (796 B) | 98b9e0e7c58bcfc7615fe1c5f5924f919b8ef7b9 | 07f291f7f6208e1ed536a92dbbcf9b66b5fc231c0d7e9a5d938eb37caa2dd43a |
| safety_checker/model.fp16.safetensors | 579.8 MB (608,016,280 B) | e09860852eb10e52451f5220bedbd1101532ca35 | 57ecdfa243b170f9b4cb3eefaf0f64552ef78fc0bf0eb1c5b9675308447184f6 |
| safety_checker/model.safetensors | 1.13 GB (1,215,979,664 B) | e349d80b182820872af9a9f2717d47044be2d417 | fb351a5ded815c3ff744968ad9c6b218d071b9d313d04f35e813b84b4c0ffde8 |
| scheduler/scheduler_config.json | 614 B (614 B) | a63f334bd6446e1cd3d49f32dac82fd45d0fff53 | 725c528a8f6f91d3e11a543718f1066b6d1682a147483c1a4a4aecf67fd9c824 |
| text_encoder/config.json | 724 B (724 B) | bde6e9d55cd7617f5a97848de6cfd223e2f5a149 | 8d4db9503d45a5f700947dbf0e1fa2298127bc26417ea728fd1060779f25677c |
| text_encoder/model.fp16.safetensors | 234.7 MB (246,144,152 B) | 98e07e06f2c2cabcd028e0beca213d370e9ec9e1 | a6f6744cfbcfe4fa9d236a231fd67e248389df7187dc15d52f16d9e9872105ff |
| text_encoder/model.safetensors | 469.5 MB (492,265,168 B) | ab51f8dc271bb5da464ec9702df9051a44cb0ef5 | 66262104f5099c84ad0e6ec156acae57b2292caebd4d7b8699327fa745145b76 |
| tokenizer/merges.txt | 512.3 KB (524,619 B) | 76e821f1b6f0a9709293c3b6b51ed90980b3166b | 9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a |
| tokenizer/special_tokens_map.json | 472 B (472 B) | 2c2130b544c0c5a72d5d00da071ba130a9800fb2 | c4864a9376a8401918425bed71fc14fc0e81f9b59ec45c1cf96cccb2df508eac |
| tokenizer/tokenizer_config.json | 737 B (737 B) | 2e8612a429492973fe60635b3f44a28b065cfac0 | 19d7b034cb0cc3ce9766c2231373ab8aa8991fc72e2c8f76558bfaae3de0d563 |
| tokenizer/vocab.json | 1.0 MB (1,059,962 B) | 469be27c5c010538f845f518c4f5e8574c78f7c8 | e089ad92ba36837a0d31433e555c8f45fe601ab5c221d4f607ded32d9f7a4349 |
| unet/config.json | 1.8 KB (1,868 B) | ca62590a70013777bab17c188b5a96e6250b3002 | 3c6e3a6a33622f614289e5226fccd6a0c02a7f7da7625f2c2fce7567aec1290b |
| unet/diffusion_pytorch_model.fp16.safetensors | 1.60 GB (1,719,125,304 B) | 19823a661f7a876478cb5e3b595af9e2eadc57fc | 6d0f6f2e3f7f0133e7684e8dffd7d0dfb1f2b09ddaf327763214449cc7a36574 |
| unet/diffusion_pytorch_model.safetensors | 3.20 GB (3,438,167,536 B) | ecf92d6aca8a1a9345c041d4f10df01febdbc243 | 10c037bc90b2d1a7ecf1aac29754d944697e88254a22eeca4ef47872acfd0611 |
| vae/config.json | 756 B (756 B) | 7a834339c76ea80cd0d99560ed9cd188a1ac689c | 60ad047b31be7671de4a22e4608885567bca2a06cdac90c4a8a6b9dd626d5a26 |
| vae/diffusion_pytorch_model.fp16.safetensors | 159.6 MB (167,335,342 B) | b19b36eabd38fbb7ec930f07541d737dc3abad54 | 79d051410ce59a337cb358d79a3e81b9e0c691c34fcc7625ecfebf6a5db233a4 |
| vae/diffusion_pytorch_model.safetensors | 319.1 MB (334,643,268 B) | 702cce3b8827624ead6121b50781a7ab20cc678a | 6bb865b3478d73053007b8a76f114010e26f1a1d2ea02dc0261464caa4289c2d |
Cite this release
- Canonical URL
- https://aiseedbank.org/models/Lykon_dreamshaper-7/
- Slug
- Lykon_dreamshaper-7
- Infohash
- 8b6ee0d8eb509becb02c6e2584130871deaea979
- License
- creativeml-openrail-m
- Signing key fingerprint
- 85a3b32c3712427b
Every file carries a locally computed sha256 — verify a download against the signed sums: Lykon_dreamshaper-7.SHA256SUMS (+ minisign signature).
Provenance
| Upstream repository | Lykon/dreamshaper-7 |
|---|---|
| Revision (pinned) | 9b481047f77996efa025e75e03941dbf51f506ad |
| Fetched at | 2026-09-03T19:01:45Z |
| License at fetch | creativeml-openrail-m |
| Snapshot tool | huggingface · seedbank 0.1.0 |
Trackers
- udp://announce.aitorrent.org:6969/announce
- http://announce.aitorrent.org:7070/announce
- udp://announce2.aitorrent.org:6970/announce
- http://announce2.aitorrent.org:7071/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://open.demonii.com:1337/announce
- udp://open.stealth.si:80/announce
- udp://exodus.desync.com:6969/announce
- udp://tracker.torrent.eu.org:451/announce
✓ verified · rehash-vs-hf-metadata at 2026-09-03T19:02:59Z
creativeml-openrail-m7.66 GB (8,223,655,693 bytes)diffuserssafetensorsstable-diffusionstable-diffusion-diffuserstext-to-imageartartisticanimedreamshaperendpoints_compatiblediffusers:StableDiffusionPipeline1 language (en)