Hugging Peers

Analog-Diffusion

☆ Save
by dienstag text-to-image-synthesis pytorch creativeml-openrail-m
484 downloads 9 likes on ModelScope updated

ModelScope

dienstag/Analog-Diffusion · model repository official

Open upstream ↗
Revision
master
Files
8
Downloaded from this source
484

Provider-specific. This path, revision and file list belong to ModelScope alone. A different source for the same model may publish different files, or the same names with different contents — which is why nothing here is merged across providers.

Files 8 · revision master

Hashes: Git OID identifies the file in the repository; LFS SHA256 is the fingerprint of a large file's contents; Xet is the provider's own content fingerprint. Expand “hashes” on any row for the full values.

  • .gitattributes 1.5 KiB 5eb242a1bd18
    hashes
    LFS SHA256
    5eb242a1bd186d3d5cea813fccfa2cf71aa0242f9fffc086295b2aa3133ff3b0
  • analog-diffusion-1.0.ckpt LFS 2 GiB a9a1c90893cc
    hashes
    LFS SHA256
    a9a1c90893cc7892dfd7438004fa954696f94208c84773b1cabb434e5a856a0c
  • analog-diffusion-1.0.safetensors LFS 2 GiB 51f6fff5088a
    hashes
    LFS SHA256
    51f6fff5088a9c5f5aa7cefa0a5a859d0424fc68fdc440e0ee5608a2b82e5ff9
  • configuration.json 146 B 10ddf551b8ff
    hashes
    LFS SHA256
    10ddf551b8ff1c3354c013434d0dc1076caea5659590548261694eb65a085ff6
  • model_index.json 582 B 4f1b35c210b3
    hashes
    LFS SHA256
    4f1b35c210b3167154abebd42814b80fa7a595342de1003d6838903679f85f83
  • parameters_used_examples.txt 5.1 KiB 2cf75e7df65e
    hashes
    LFS SHA256
    2cf75e7df65e9fcffead119103b95da5460696f8632191f381ae1de663609474
  • README-en.md 1.6 KiB e03e1887f44b
    hashes
    LFS SHA256
    e03e1887f44b045cf2686c1dcfc04c4cc6e7024ca8a42c40973f51a730601da4
  • README.md 1.5 KiB 7c1fc1e87e94
    hashes
    LFS SHA256
    7c1fc1e87e940476febd20aa2360360dc54aaa32594062b082d9591460f91b7b