{"schema":"record/v1","id":"src_01M569CKYP82MPEVYT6HFKP2K0","type":"source","revision":1,"etag":"\"r1.s0\"","title":"Diffusers guide: video generation basics and memory reduction","summary":null,"status":"active","body":{"text":"","archived":null,"checked_at":"2026-10-17T00:00:00.000Z","parent_url":null,"usefulness":"Official how-to covering num_frames, guidance_scale, negative prompts, LoRA loading, group offloading, bitsandbytes 4-bit quantization and torch.compile across Wan, HunyuanVideo, LTX-Video and CogVideoX pipelines. Best beginner-to-intermediate programmatic entry point.","source_type":"documentation","availability":"available","dependencies":[],"source_owner":"Hugging Face","canonical_url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","next_check_at":"2026-10-24T00:00:00.000Z","successor_url":null,"hardware_notes":"Source claim: ~13 GB VRAM for 14B Wan with group offloading.","known_limitations":["Page appears to contain inconsistencies in example snippets (e.g. an unimported AutoencoderKLWan in the negative-prompt example, a missing space in one import).","Documents the v0.41.0 docs build as linked from the page."],"upstream_updated_at":null},"categories":["T06"],"tags":["diffusers","group-offloading","quantization","torch-compile","wan","ltx","hunyuanvideo","cogvideox","beginner","level:beginner"],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"metadata_checked","execution":"reported_by_source","review":"unreviewed","review_revision":null,"claims":[{"url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","claim":"Page shows WanPipeline, HunyuanVideoPipeline, LTXPipeline and CogVideoXPipeline examples with num_frames, guidance_scale, negative_prompt and LoRA loading.","classification":"upstream_claim"},{"url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","claim":"Page says group offloading can lower a 14B Wan model's requirement to about 13 GB VRAM and warns quantization may affect video quality depending on the model.","classification":"upstream_claim"},{"url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","claim":"Page notes some models need specific num_frames values, e.g. HunyuanVideo recommends (4 * num_frames) + 1.","classification":"upstream_claim"},{"claim":"Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.","classification":"upstream_claim"}],"execution_record_ids":[]},"rights":[{"notes":"Documentation license not checked; the diffusers library license was not read in this lane (see seeded huggingface/diffusers).","hosting":"unknown","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":["https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid"],"model_training":"unknown","redistribution":"unknown"}],"attribution":{"origin":"research_agent","upstream_owner":"Hugging Face","upstream_url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","imported_from":"content/seeds/research/curated/resources.jsonl#huggingface-docs--diffusers-video-generation","import_batch_id":"l07-curated-2026-10-17","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"l07-curated-2026-10-17","original":{"id":"huggingface-docs--diffusers-video-generation","name":"Diffusers guide: video generation basics and memory reduction","tags":["diffusers","group-offloading","quantization","torch-compile","wan","ltx","hunyuanvideo","cogvideox","beginner","level:beginner"],"rights":[{"notes":"Documentation license not checked; the diffusers library license was not read in this lane (see seeded huggingface/diffusers).","hosting":"unknown","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":["https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid"],"model_training":"unknown","redistribution":"unknown"}],"evidence":[{"url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","claim":"Page shows WanPipeline, HunyuanVideoPipeline, LTXPipeline and CogVideoXPipeline examples with num_frames, guidance_scale, negative_prompt and LoRA loading.","classification":"upstream_claim"},{"url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","claim":"Page says group offloading can lower a 14B Wan model's requirement to about 13 GB VRAM and warns quantization may affect video quality depending on the model.","classification":"upstream_claim"},{"url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","claim":"Page notes some models need specific num_frames values, e.g. HunyuanVideo recommends (4 * num_frames) + 1.","classification":"upstream_claim"}],"language":"en","checked_on":"2026-10-17","usefulness":"Official how-to covering num_frames, guidance_scale, negative prompts, LoRA loading, group offloading, bitsandbytes 4-bit quantization and torch.compile across Wan, HunyuanVideo, LTX-Video and CogVideoX pipelines. Best beginner-to-intermediate programmatic entry point.","source_type":"documentation","category_ids":["T06"],"source_owner":"Hugging Face","canonical_url":"https://huggingface.co/docs/diffusers/using-diffusers/text-img2vid","review_status":"reviewed","hardware_notes":"Source claim: ~13 GB VRAM for 14B Wan with group offloading.","schema_version":"0.1","execution_status":"reported_by_source","inspection_status":"metadata_checked","known_limitations":["Page appears to contain inconsistencies in example snippets (e.g. an unimported AutoencoderKLWan in the negative-prompt example, a missing space in one import).","Documents the v0.41.0 docs build as linked from the page."],"proposed_next_action":"synthesize"},"collector":{"file":"research-results/_inbox/lane-b/T06.json","lane":"lane-b","branch":"worktree-agent-a0ed9eed8c015f4b7","commit":"5179ec9","collector":"Claude Sonnet 5.5 (high), combined lane B (T05-T09), founder-run","file_sha256":"c79b0e9869bbf5395ee3af5bfc6f7b052e547f9ef7aed4f9c1f7c13a624f5e88","merged_from":[],"original_id":"huggingface-docs--diffusers-video-generation","review_reason":"L07 review 2026-10-17: lane lane-b accepted after automated metadata re-check and sample verification; see review-log.jsonl.","review_status":"reviewed","automated_flags":[]},"observed_on":"2026-10-17","original_id":"huggingface-docs--diffusers-video-generation","source_file":"content/seeds/research/curated/resources.jsonl","research_side":{"review_status":"reviewed","source_language":"en","execution_status":"reported_by_source","inspection_status":"metadata_checked","proposed_next_action":"synthesize"},"source_schema":"resource-candidate/0.1","original_sha256":"f1501386f6ae87f6063db3f63dc2ba95a9a0a0d1d4b4a47bbaec8a18f8bfc464","unmapped_fields":["language","proposed_next_action"]}],"publication":{"rule":"owner_import_table","policy":"l05-publication/1","visibility":"public"},"research_review":{"by":"research pipeline","as_of":"2026-10-17","status":"reviewed"}}},"parent_id":null,"project_id":null,"reply_count":0,"url":"https://veyrul.com/sources/src_01M569CKYP82MPEVYT6HFKP2K0","api_url":"https://veyrul.com/v1/records/src_01M569CKYP82MPEVYT6HFKP2K0","created_at":"2026-10-18T01:18:01.672Z","updated_at":"2026-10-18T01:18:01.672Z","last_activity_at":"2026-10-18T01:18:01.672Z"}